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ORCIDYaochu Jin
Person information
- affiliation: Westlake University, Hangzhou, China
- affiliation (former): Bielefeld University, Germany
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2020 – today
- 2024
[j374]Mengxuan Zhang
, Long Liu, Yaochu Jin, Zhikun Lei, Zhigang Wang, Licheng Jiao:
Tree-shaped multiobjective evolutionary CNN for hyperspectral image classification. Appl. Soft Comput. 152: 111176 (2024)- [j373]Fei Li, Zhengkun Shang, Yuanchao Liu, Hao Shen, Yaochu Jin:
Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization. Appl. Soft Comput. 152: 111194 (2024) - [j372]Xihe Qiu, Jiahui Qian, Haoyu Wang, Xiaoyu Tan, Yaochu Jin:
An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting. Appl. Soft Comput. 154: 111324 (2024) - [j371]Yaochu Jin:
CIS-ing in an Uncertain World [President's Message]. IEEE Comput. Intell. Mag. 19(1): 4-5 (2024) - [j370]Yaochu Jin:
Don't Play Games, Optimize [President's Message]. IEEE Comput. Intell. Mag. 19(2): 3-4 (2024) - [j369]Yaochu Jin:
Newly Elected CIS Administrative Committee Members [Society Briefs]. IEEE Comput. Intell. Mag. 19(2): 5-7 (2024) - [j368]Yaochu Jin:
Time Flies [President's Message]. IEEE Comput. Intell. Mag. 19(3): 3-4 (2024) - [j367]Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin:
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues. ACM Comput. Surv. 56(2): 41:1-41:34 (2024) - [j366]Guoyang Xie, Yawen Huang, Jin-Bao Wang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin:
Cross-modality Neuroimage Synthesis: A Survey. ACM Comput. Surv. 56(3): 80:1-80:28 (2024) - [j365]Fei Ming, Wenyin Gong, Yaochu Jin:
Even Search in a Promising Region for Constrained Multi-Objective Optimization. IEEE CAA J. Autom. Sinica 11(2): 474-486 (2024) - [j364]Jiaqi Liu, Guoyang Xie, Jin-Bao Wang, Shangnian Li, Chengjie Wang, Feng Zheng, Yaochu Jin:
Deep Industrial Image Anomaly Detection: A Survey. Mach. Intell. Res. 21(1): 104-135 (2024) - [j363]Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin:
Efficient adversarial training with multi-fidelity optimization for robust neural network. Neurocomputing 585: 127627 (2024) - [j362]Zhifeng Hao, Yaochu Jin, Xueming Yan, Chuyue Wang, Shangshang Yang, Hong Ge:
Cross-modal hashing retrieval with compatible triplet representation. Neurocomputing 602: 128293 (2024) - [j361]Qiqi Liu, Yuping Yan, Yaochu Jin:
Privacy-preserving federated Bayesian optimization with learnable noise. Inf. Sci. 653: 119739 (2024) - [j360]Xueming Yan, Guo Zhong, Yaochu Jin, Xiaohua Ke, Fenfang Xie, Guoheng Huang:
Binary spectral clustering for multi-view data. Inf. Sci. 677: 120899 (2024) - [j359]Qiqi Liu, Leming Wu, Yaochu Jin:
Federated Bayesian optimization via compressed sensing. Inf. Sci. 681: 121148 (2024) - [j358]Leming Wu, Yaochu Jin, Yuping Yan, Kuangrong Hao:
FL-OTCSEnc: Towards secure federated learning with deep compressed sensing. Knowl. Based Syst. 291: 111534 (2024) - [j357]Shiqing Liu, Xueming Yan, Yaochu Jin:
An edge-aware graph autoencoder trained on scale-imbalanced data for traveling salesman problems. Knowl. Based Syst. 291: 111559 (2024) - [j356]Lingguang Hao, Kuangrong Hao, Yaochu Jin, Hongzhi Zhao:
A hypothetical defenses-based training framework for generating transferable adversarial examples. Knowl. Based Syst. 305: 112602 (2024) - [j355]Tao Lei, Yetong Xu, Hailong Ning, Zhiyong Lv, Chongdan Min, Yaochu Jin, Asoke K. Nandi:
Lightweight Structure-Aware Transformer Network for Remote Sensing Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j354]Fei Ming, Wenyin Gong, Yaochu Jin:
Growing Neural Gas Network-based surrogate-assisted Pareto set learning for multimodal multi-objective optimization. Swarm Evol. Comput. 87: 101541 (2024) - [j353]Yong Pang, Shuai Zhang, Yaochu Jin, Yitang Wang, Xiaonan Lai, Xueguan Song:
Surrogate information transfer and fusion in high-dimensional expensive optimization problems. Swarm Evol. Comput. 88: 101586 (2024) - [j352]Rui Wang, Oguzhan Ersoy, Hangyu Zhu, Yaochu Jin, Kaitai Liang:
FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels. IEEE Trans. Big Data 10(6): 1001-1015 (2024) - [j351]Guoyang Xie, Jinbao Wang, Jiaqi Liu, Jiayi Lyu, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin:
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing. IEEE Trans. Cybern. 54(5): 2720-2733 (2024) - [j350]Hao Jiang, Kang Chou, Ye Tian, Xingyi Zhang, Yaochu Jin:
Efficient Surrogate Modeling Method for Evolutionary Algorithm to Solve Bilevel Optimization Problems. IEEE Trans. Cybern. 54(7): 4335-4347 (2024) - [j349]Wei Song, Shaocong Liu, Xinjie Wang, Yinan Guo, Shengxiang Yang, Yaochu Jin:
Learning to Guide Particle Search for Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 54(9): 5529-5542 (2024) - [j348]Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin:
Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis. IEEE Trans. Evol. Comput. 28(1): 47-61 (2024) - [j347]Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. IEEE Trans. Evol. Comput. 28(2): 323-337 (2024) - [j346]Yaqing Hou, Mingyang Sun, Yifeng Zeng, Yew-Soon Ong, Yaochu Jin, Hongwei Ge, Qiang Zhang:
A Multiagent Cooperative Learning System With Evolution of Social Roles. IEEE Trans. Evol. Comput. 28(2): 531-543 (2024) - [j345]Lianbo Ma, Nan Li, Guo Yu, Xiaoyu Geng, Shi Cheng, Xingwei Wang, Min Huang, Yaochu Jin:
Pareto-Wise Ranking Classifier for Multiobjective Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 28(3): 570-581 (2024) - [j344]Hangyu Zhu, Xilu Wang, Yaochu Jin:
Federated Many-Task Bayesian Optimization. IEEE Trans. Evol. Comput. 28(4): 980-993 (2024) - [j343]Yuanchao Liu, Jianchang Liu, Jinliang Ding, Shangshang Yang, Yaochu Jin:
A Surrogate-Assisted Differential Evolution With Knowledge Transfer for Expensive Incremental Optimization Problems. IEEE Trans. Evol. Comput. 28(4): 1039-1053 (2024) - [j342]Danial Yazdani, Mohammad Nabi Omidvar, Donya Yazdani, Jürgen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao:
Robust Optimization Over Time: A Critical Review. IEEE Trans. Evol. Comput. 28(5): 1265-1285 (2024) - [j341]Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang, Yaochu Jin:
Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(5): 1286-1300 (2024) - [j340]Qiqi Liu, Yuping Yan, Péter Ligeti, Yaochu Jin:
A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 191-205 (2024) - [j339]Xueming Yan, Han Huang, Yaochu Jin, Liang Chen, Zhanning Liang, Zhifeng Hao:
Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 350-363 (2024) - [j338]Huiting Li, Yaochu Jin, Tianyou Chai:
Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 488-502 (2024) - [j337]Hongbin Li, Chaojun Ma, Chuanji Zhang, Qing Chen, Cheng He, Yaochu Jin:
A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1142-1155 (2024) - [j336]Wanting Zhang, Wei Du, Guo Yu, Renchu He, Wenli Du, Yaochu Jin:
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1567-1581 (2024) - [j335]Jianping Luo, YongFei Dong, Qiqi Liu, Zexuan Zhu, Wenming Cao, Kay Chen Tan, Yaochu Jin:
A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1894-1909 (2024) - [j334]Haofeng Wu, Qingda Chen, Yaochu Jin, Jinliang Ding, Tianyou Chai:
A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 2050-2064 (2024) - [j333]Xiaoyu Tan, Chao Qu, Junwu Xiong, James Y. Zhang, Xihe Qiu, Yaochu Jin:
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2974-2986 (2024) - [j332]Haofeng Wu, Yaochu Jin, Kailai Gao, Jinliang Ding, Ran Cheng:
Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3263-3278 (2024) - [j331]Wei Du, Wenxuan Fang, Chen Liang, Yang Tang, Yaochu Jin:
A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3589-3602 (2024) - [j330]Zhen Yang, Jie Zhang, Yunliang Jiang, Yaochu Jin:
An Energy-Efficient Convolution-Based Partitioned Collaborative Perception Algorithm for Large-Scale IoT Services. IEEE Trans. Ind. Informatics 20(5): 7404-7413 (2024) - [j329]Peng Yue, Yaochu Jin, Xuewu Dai, Zhenhua Feng, Dongliang Cui:
Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling. IEEE Trans. Intell. Transp. Syst. 25(1): 478-490 (2024) - [j328]Peng Yue, Yaochu Jin, Xuewu Dai, Zhenhua Feng, Dongliang Cui:
Reinforcement Learning for Scalable Train Timetable Rescheduling With Graph Representation. IEEE Trans. Intell. Transp. Syst. 25(7): 6472-6485 (2024) - [j327]Xinjie Wang, Yaochu Jin, Wenli Du, Jun Wang:
Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1572-1583 (2024) - [j326]Feng Qian, Yaochu Jin, Xinghuo Yu, Yang Tang, Guy B. Marin:
Guest Editorial Special Issue on Learning Theories and Methods With Application to Digitized Process Manufacturing. IEEE Trans. Neural Networks Learn. Syst. 35(3): 2914-2916 (2024) - [j325]Hongliang Guo, Qihang Peng, Zhiguang Cao, Yaochu Jin:
DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3215-3228 (2024) - [j324]Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12938-12952 (2024) - [j323]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 143-155 (2024) - [j322]Shuangming Yang, Haowen Wang, Yanwei Pang, Yaochu Jin, Bernabé Linares-Barranco:
Integrating Visual Perception With Decision Making in Neuromorphic Fault-Tolerant Quadruplet-Spike Learning Framework. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1502-1514 (2024) - [j321]Xiangyu Wang, Ran Cheng, Yaochu Jin:
Sparse Large-Scale Multiobjective Optimization by Identifying Nonzero Decision Variables. IEEE Trans. Syst. Man Cybern. Syst. 54(10): 6280-6292 (2024) - [c187]Xiangyu Wang, Xilu Wang, Yaochu Jin, Ulrich Rückert:
A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. CEC 2024: 1-8 - [c186]Xinan Chen, Wenjie Yi, Ruibin Bai, Rong Qu, Yaochu Jin:
A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic Regression. CEC 2024: 1-8 - [c185]Shiqing Liu, Ulrich Rückert, Yaochu Jin:
FOG: A Unified Framework for Federated Combinatorial Optimization on Graphs. CEC 2024: 1-8 - [c184]Elias A. D. Silva, Lucas S. Palmeira, Marcelo A. Garcia-Júnior, Luiz G. A. Martins, Yaochu Jin, Bruno S. Andrade, Robinson Sabino-Silva, Murillo G. Carneiro:
A Surrogate-Assisted Genetic Algorithm Framework to Discover Peptides Against COVID-19 Virus. CEC 2024: 1-8 - [c183]Haofeng Wu, Qingda Chen, Cuie Yang, Jinliang Ding, Yaochu Jin:
A Surrogate-Assisted Coevolutionary Algorithm for Expensive Constrained Multiobjective Optimization. CEC 2024: 1-8 - [c182]Yan Xiao, Yaochu Jin, Kuangrong Hao:
Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast. LREC/COLING 2024: 7163-7173 - [c181]Peng Liao, Xilu Wang, Yaochu Jin, Wenli Du:
MO-EMT-NAS: Multi-objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets. ECCV (70) 2024: 18-35 - [c180]Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin:
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective. ECCV (28) 2024: 144-160 - [c179]Christian Internò, Markus Olhofer, Yaochu Jin, Barbara Hammer:
Federated Loss Exploration for Improved Convergence on Non-IID Data. IJCNN 2024: 1-8 - [c178]Ruyu Liu, Zhengzhe Liu, Haoyu Zhang, Guodao Zhang, Jianhua Zhang, Sunbo, Weiguo Sheng, Xiufeng Liu, Yaochu Jin:
ColVO: Colonoscopic Visual Odometry Considering Geometric and Photometric Consistency. ACM Multimedia 2024: 8100-8109 - [c177]Jinghao Zhang, Zhenhua Feng, Yaochu Jin:
Robust Long-Tailed Image Classification via Adversarial Feature Re-Calibration. VISIGRAPP (2): VISAPP 2024: 213-220 - [i82]Yaqing Hou, Mingyang Sun, Abhishek Gupta, Yaochu Jin, Haiyin Piao, Hongwei Ge, Qiang Zhang:
Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality. CoRR abs/2401.00168 (2024) - [i81]Wei Du, Wenxuan Fang, Chen Liang, Yang Tang, Yaochu Jin:
A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions. CoRR abs/2401.01070 (2024) - [i80]Peng Yue, Yaochu Jin, Xuewu Dai, Zhenhua Feng, Dongliang Cui:
Reinforcement Learning for Scalable Train Timetable Rescheduling with Graph Representation. CoRR abs/2401.06952 (2024) - [i79]Wanting Zhang, Wei Du, Guo Yu, Renchu He, Wenli Du, Yaochu Jin:
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling. CoRR abs/2401.10274 (2024) - [i78]Xueming Yan, Yaochu Jin:
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization. CoRR abs/2401.15931 (2024) - [i77]Fei Ming, Wenyin Gong, Ling Wang, Yaochu Jin:
Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection. CoRR abs/2402.12381 (2024) - [i76]Wenxuan Fang, Wei Du, Renchu He, Yang Tang, Yaochu Jin, Gary G. Yen:
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling. CoRR abs/2402.14600 (2024) - [i75]Maojiang Tian, Minyang Chen, Wei Du, Yang Tang, Yaochu Jin, Gary G. Yen:
A Composite Decomposition Method for Large-Scale Global Optimization. CoRR abs/2403.01192 (2024) - [i74]Maojiang Tian, Mingke Chen, Wei Du, Yang Tang, Yaochu Jin:
An Enhanced Differential Grouping Method for Large-Scale Overlapping Problems. CoRR abs/2404.10515 (2024) - [i73]Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer:
Automated Federated Learning via Informed Pruning. CoRR abs/2405.10271 (2024) - [i72]Zihan Ye, Shreyank N. Gowda, Xiaobo Jin, Xiaowei Huang, Haotian Xu, Yaochu Jin, Kaizhu Huang:
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models. CoRR abs/2406.02929 (2024) - [i71]Xueming Yan, Ziqi Wang, Yaochu Jin:
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks. CoRR abs/2406.08524 (2024) - [i70]Yingchao Yu, Yuping Yan, Jisong Cai, Yaochu Jin:
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks. CoRR abs/2406.09680 (2024) - [i69]Yuping Yan, Yizhi Wang, Yingchao Yu, Yaochu Jin:
Privacy-preserving Quantification of Non-IID Degree in Federated Learning. CoRR abs/2406.09682 (2024) - [i68]Yaochu Jin, Xueming Yan, Shiqing Liu, Xiangyu Wang:
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks. CoRR abs/2406.13125 (2024) - [i67]Jie Zhao, Kang Hao Cheong, Yaochu Jin:
Multi-Domain Evolutionary Optimization of Network Structures. CoRR abs/2406.14865 (2024) - [i66]Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin:
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective. CoRR abs/2407.12443 (2024) - [i65]Peng Liao, XiLu Wang, Yaochu Jin, Wenli Du:
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets. CoRR abs/2407.13122 (2024) - [i64]Yongxin Deng, Xiaoyu Tan, Xihe Qiu, Yaochu Jin:
FedSlate:A Federated Deep Reinforcement Learning Recommender System. CoRR abs/2409.14872 (2024) - [i63]Xiang Hu, Hongyu Fu, Jinge Wang, Yifeng Wang, Zhikun Li, Renjun Xu, Yu Lu, Yaochu Jin, Lili Pan, Zhenzhong Lan:
Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas. CoRR abs/2410.14255 (2024) - [i62]Guodong Chen, Jiu Jimmy Jiao, Qiqi Liu, Zhongzheng Wang, Yaochu Jin:
Machine Learning-Accelerated Multi-Objective Design of Fractured Geothermal Systems. CoRR abs/2411.00504 (2024) - [i61]Chanjuan Liu, Jinmiao Cong, Bingcai Chen, Yaochu Jin, Enqiang Zhu:
Guiding Multi-agent Multi-task Reinforcement Learning by a Hierarchical Framework with Logical Reward Shaping. CoRR abs/2411.01184 (2024) - 2023
- [b4]Yaochu Jin, Hangyu Zhu, Jinjin Xu, Yang Chen:
Federated Learning - Fundamentals and Advances. Springer 2023, ISBN 978-981-19-7082-5, pp. 1-215 - [b3]Yaochu Jin:
Computational Evolution of Neural and Morphological Development - Towards Evolutionary Developmental Artificial Intelligence. Natural Computing Series, Springer 2023, ISBN 978-981-99-1853-9, pp. 1-273 - [j320]Rongsheng Wang, Qi Zhang, Xuewu Dai, Zhiming Yuan, Tao Zhang, Shuxin Ding, Yaochu Jin:
An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage. Appl. Soft Comput. 145: 110590 (2023) - [j319]Xingyi Zhang, Ran Cheng, Liang Feng, Yaochu Jin:
Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial]. IEEE Comput. Intell. Mag. 18(2): 16-17 (2023) - [j318]Shuai Wang, Beichen Ding, Yaochu Jin:
A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem. IEEE Comput. Intell. Mag. 18(3): 41-53 (2023) - [j317]Qiqi Liu, Felix Lanfermann, Tobias Rodemann, Markus Olhofer, Yaochu Jin:
Surrogate-Assisted Many-Objective Optimization of Building Energy Management. IEEE Comput. Intell. Mag. 18(4): 14-28 (2023) - [j316]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Recent Advances in Bayesian Optimization. ACM Comput. Surv. 55(13s): 287:1-287:36 (2023) - [j315]Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai:
A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization. Evol. Comput. 31(4): 433-458 (2023) - [j314]Ye Tian, Weijian Zhu, Xingyi Zhang, Yaochu Jin:
A practical tutorial on solving optimization problems via PlatEMO. Neurocomputing 518: 190-205 (2023) - [j313]Xi Zhang, Guo Yu, Yaochu Jin, Feng Qian:
An adaptive Gaussian process based manifold transfer learning to expensive dynamic multi-objective optimization. Neurocomputing 538: 126212 (2023) - [j312]Shuangming Yang, Yanwei Pang, Haowen Wang, Tao Lei, Jing Pan, Jian Wang, Yaochu Jin:
Spike-driven multi-scale learning with hybrid mechanisms of spiking dendrites. Neurocomputing 542: 126240 (2023) - [j311]Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin:
FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis. Neurocomputing 546: 126282 (2023) - [j310]Jia Liu, Ran Cheng, Yaochu Jin:
Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures. Neurocomputing 550: 126465 (2023) - [j309]Xi Zhang, Yaochu Jin, Feng Qian:
A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation. Neurocomputing 559: 126761 (2023) - [j308]Zhen Yang, Jie Zhang, Yunliang Jiang, Yaochu Jin:
A Self-Organizing IoT Service Perception Algorithm Based on Human Visual Direction-Sensitive System. IEEE Internet Things J. 10(7): 6193-6204 (2023) - [j307]Xi Zhang, Guo Yu, Yaochu Jin, Feng Qian:
Elitism-based transfer learning and diversity maintenance for dynamic multi-objective optimization. Inf. Sci. 636: 118927 (2023) - [j306]Yajie Zhang, Ye Tian, Hao Jiang, Xingyi Zhang, Yaochu Jin:
Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization. Inf. Sci. 648: 119547 (2023) - [j305]Hongliang Guo, Wenda Sheng, Chen Gao, Yaochu Jin:
DRL Router: Distributional Reinforcement Learning-Based Router for Reliable Shortest Path Problems. IEEE Intell. Transp. Syst. Mag. 15(5): 91-108 (2023) - [j304]Nian Zhang, Zhigang Zeng, Yaochu Jin:
Guest editorial: Robust, explainable, and privacy-preserving deep learning. Knowl. Based Syst. 263: 110287 (2023) - [j303]Leming Wu, Yaochu Jin, Kuangrong Hao:
Optimized compressed sensing for communication efficient federated learning. Knowl. Based Syst. 278: 110805 (2023) - [j302]Xueming Yan, Zhihang Fang, Yaochu Jin:
An adaptive n-gram transformer for multi-scale scene text recognition. Knowl. Based Syst. 280: 110964 (2023) - [j301]Meng Wu, Xiaomin Zhu, Li Ma, Weidong Bao, Zhun Fan, Yaochu Jin:
Multi-robot target entrapment using cooperative hierarchical gene regulatory network. Swarm Evol. Comput. 80: 101310 (2023) - [j300]Zhun Fan, Zhaojun Wang, Wenji Li, Xiaomin Zhu, Bingliang Hu, An-Min Zou, Weidong Bao, Minqiang Gu, Zhifeng Hao, Yaochu Jin:
Automated pattern generation for swarm robots using constrained multi-objective genetic programming. Swarm Evol. Comput. 81: 101337 (2023) - [j299]Ye Tian, Jingwen Pan, Shangshang Yang, Xingyi Zhang, Shuping He, Yaochu Jin:
Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm. IEEE Trans. Artif. Intell. 4(2): 268-281 (2023) - [j298]Wenjian Luo, Yaochu Jin, Catherine Huang:
Guest Editorial: Special Issue on Security and Privacy in Machine Learning. IEEE Trans. Artif. Intell. 4(5): 986-987 (2023) - [j297]Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang:
PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels. IEEE Trans. Artif. Intell. 4(5): 988-1001 (2023) - [j296]Guo Yu, Yaochu Jin, Markus Olhofer, Qiqi Liu, Wenli Du:
Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis. IEEE Trans. Cybern. 53(4): 2480-2493 (2023) - [j295]Zhening Liu, Handing Wang, Yaochu Jin:
Performance Indicator-Based Adaptive Model Selection for Offline Data-Driven Multiobjective Evolutionary Optimization. IEEE Trans. Cybern. 53(10): 6263-6276 (2023) - [j294]Hui Bai, Ran Cheng, Danial Yazdani, Kay Chen Tan, Yaochu Jin:
Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping. IEEE Trans. Cybern. 53(11): 6937-6950 (2023) - [j293]Xingyi Zhang, Ran Cheng, Yaochu Jin, Bernhard Sendhoff:
Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications. IEEE Trans. Evol. Comput. 27(3): 398-400 (2023) - [j292]Yapei Wu, Xingguang Peng, Handing Wang, Yaochu Jin, Demin Xu:
Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments. IEEE Trans. Evol. Comput. 27(3): 686-700 (2023) - [j291]Shufen Qin, Chaoli Sun, Qiqi Liu, Yaochu Jin:
A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization. IEEE Trans. Evol. Comput. 27(4): 1085-1099 (2023) - [j290]Tuo Zhang, Handing Wang, Bo Yuan, Yaochu Jin, Xin Yao:
Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems. IEEE Trans. Evol. Comput. 27(5): 1162-1176 (2023) - [j289]Minyang Chen, Wei Du, Yang Tang, Yaochu Jin, Gary G. Yen:
A Decomposition Method for Both Additively and Nonadditively Separable Problems. IEEE Trans. Evol. Comput. 27(6): 1720-1734 (2023) - [j288]Haoran Gu, Handing Wang, Yaochu Jin:
Surrogate-Assisted Differential Evolution With Adaptive Multisubspace Search for Large-Scale Expensive Optimization. IEEE Trans. Evol. Comput. 27(6): 1765-1779 (2023) - [j287]Yuanchao Liu, Jianchang Liu, Yaochu Jin, Fei Li, Tianzi Zheng:
A Surrogate-Assisted Two-Stage Differential Evolution for Expensive Constrained Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 715-730 (2023) - [j286]Shangshang Yang, Haoyu Wei, Haiping Ma, Ye Tian, Xingyi Zhang, Yunbo Cao, Yaochu Jin:
Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 829-844 (2023) - [j285]Ye Tian, Xiaopeng Li, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1051-1064 (2023) - [j284]Yan Zhou, Yaochu Jin, Yao Sun, Jinliang Ding:
Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1484-1498 (2023) - [j283]Tao Lei, Xinzhe Geng, Hailong Ning, Zhiyong Lv, Maoguo Gong, Yaochu Jin, Asoke K. Nandi:
Ultralightweight Spatial-Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j282]Dinghua Xue, Tao Lei, Shuangming Yang, Zhiyong Lv, Tongfei Liu, Yaochu Jin, Asoke K. Nandi:
Triple Change Detection Network via Joint Multifrequency and Full-Scale Swin-Transformer for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j281]Qiang Liu, Jialu Fan, Jin-Xi Zhang, Yaochu Jin:
Guest Editorial: Advanced Intelligent Manufacturing System: Theory, Algorithms, and Industrial Applications. IEEE Trans. Ind. Informatics 19(6): 7720-7723 (2023) - [j280]Yan Xiao, Yaochu Jin, Kuangrong Hao:
Adaptive Prototypical Networks With Label Words and Joint Representation Learning for Few-Shot Relation Classification. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1406-1417 (2023) - [j279]Ye Tian, Langchun Si, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Local Model-Based Pareto Front Estimation for Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 623-634 (2023) - [j278]Qiqi Liu, Yaochu Jin, Martin Heiderich, Tobias Rodemann:
Coordinated Adaptation of Reference Vectors and Scalarizing Functions in Evolutionary Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 763-775 (2023) - [j277]Shuai Wang, Yaochu Jin, Ming Cai:
Enhancing the Robustness of Networks Against Multiple Damage Models Using a Multifactorial Evolutionary Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4176-4188 (2023) - [j276]Zhenshou Song, Handing Wang, Yaochu Jin:
A Surrogate-Assisted Evolutionary Framework With Regions of Interests-Based Data Selection for Expensive Constrained Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6268-6280 (2023) - [j275]Lianbo Ma, Yang Liu, Guo Yu, Xinzhe Wang, Hongwei Mo, Gai-Ge Wang, Yaochu Jin, Ying Tan:
Decomposition-Based Multiobjective Optimization for Variable-Length Mixed-Variable Pareto Optimization and Its Application in Cloud Service Allocation. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 7138-7151 (2023) - [c176]Haoran Gu, Handing Wang, Yaochu Jin:
Effects of Pareto Set on the Performance of Problem Reformulation-Based Large-Scale Multiobjective Optimization Algorithms. CEC 2023: 1-8 - [c175]Shiqing Liu, Xilu Wang, Yaochu Jin:
Federated Bayesian Optimization for Privacy-Preserving Neural Architecture Search. CEC 2023: 1-8 - [c174]Peng Liao, Yaochu Jin, Wenli Du:
EMT-NAS: Transferring architectural knowledge between tasks from different datasets. CVPR 2023: 3643-3653 - [c173]Lingrui Zhang, Shuheng Zhang, Guoyang Xie, Jiaqi Liu, Hua Yan, Jinbao Wang, Feng Zheng, Yaochu Jin:
What Makes a Good Data Augmentation for Few-Shot Unsupervised Image Anomaly Detection? CVPR Workshops 2023: 4345-4354 - [c172]Shiqing Liu, Xueming Yan, Yaochu Jin:
End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location. EMO 2023: 147-161 - [c171]Xiangyu Wang, Yaochu Jin:
An Ant Colony Algorithm Assisted by Graph Neural Networks for Solving Vehicle Routing Problems. GECCO Companion 2023: 5-6 - [c170]Peng Yue, Shiqing Liu, Yaochu Jin:
Graph Q-learning Assisted Ant Colony Optimization for Vehicle Routing Problems with Time Windows. GECCO Companion 2023: 7-8 - [c169]Guoyang Xie, Jinbao Wang, Jiaqi Liu, Yaochu Jin, Feng Zheng:
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore. ICLR 2023 - [c168]Lucas Z. Bissaro, Odelmo O. Nascimento Junior, João-Batista Destro-Filho, Yaochu Jin, Murillo G. Carneiro:
Towards the Prognosis of Patients in Coma using Echo State Networks for EEG Analysis. INNS DLIA@IJCNN 2023: 509-518 - [c167]Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin:
Adversarial Training of Deep Neural Networks Guided by Texture and Structural Information. ACM Multimedia 2023: 4958-4967 - [p13]Kalyanmoy Deb, Peter J. Fleming, Yaochu Jin, Kaisa Miettinen, Patrick M. Reed:
Key Issues in Real-World Applications of Many-Objective Optimisation and Decision Analysis. Many-Criteria Optimization and Decision Analysis 2023: 29-57 - [i60]Xiangyu Wang, Xueming Yan, Yaochu Jin:
A Graph Neural Network with Negative Message Passing for Graph Coloring. CoRR abs/2301.11164 (2023) - [i59]Jiaqi Liu, Guoyang Xie, Jingbao Wang, Shangnian Li, Chengjie Wang, Feng Zheng, Yaochu Jin:
Deep Industrial Image Anomaly Detection: A Survey. CoRR abs/2301.11514 (2023) - [i58]Guoyang Xie, Jingbao Wang, Jiaqi Liu, Feng Zheng, Yaochu Jin:
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore. CoRR abs/2301.12082 (2023) - [i57]Beichen Huang, Ran Cheng, Yaochu Jin, Kay Chen Tan:
EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation. CoRR abs/2301.12457 (2023) - [i56]Guoyang Xie, Jinbao Wang, Jiaqi Liu, Jiayi Lyu, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin:
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing. CoRR abs/2301.13359 (2023) - [i55]Xueming Yan, Zhihang Fang, Yaochu Jin:
Augmented Transformers with Adaptive n-grams Embedding for Multilingual Scene Text Recognition. CoRR abs/2302.14261 (2023) - [i54]Hui Bai, Ran Cheng, Yaochu Jin:
Evolutionary Reinforcement Learning: A Survey. CoRR abs/2303.04150 (2023) - [i53]Lingrui Zhang, Shuheng Zhang, Guoyang Xie, Jiaqi Liu, Hua Yan, Jinbao Wang, Feng Zheng, Yaochu Jin:
What makes a good data augmentation for few-shot unsupervised image anomaly detection? CoRR abs/2304.03294 (2023) - [i52]Tao Lei, Yetong Xu, Hailong Ning, Zhiyong Lv, Chongdan Min, Yaochu Jin, Asoke K. Nandi:
Lightweight Structure-aware Transformer Network for VHR Remote Sensing Image Change Detection. CoRR abs/2306.01988 (2023) - [i51]Felix Lanfermann, Qiqi Liu, Yaochu Jin, Sebastian Schmitt:
Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions. CoRR abs/2306.08318 (2023) - [i50]Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin:
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment. CoRR abs/2307.04296 (2023) - [i49]Shangshang Yang, Haiping Ma, Cheng Zhen, Ye Tian, Limiao Zhang, Yaochu Jin, Xingyi Zhang:
Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search. CoRR abs/2307.04429 (2023) - [i48]Mai Peng, Zeneng She, Delaram Yazdani, Danial Yazdani, Wenjian Luo, Changhe Li, Jürgen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao:
Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments. CoRR abs/2308.12644 (2023) - [i47]Shiqing Liu, Xueming Yan, Yaochu Jin:
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Travelling Salesman Problems. CoRR abs/2310.06543 (2023) - [i46]Yuping Yan, George Shao, Dennis Song, Mason Song, Yaochu Jin:
HE-DKSAP: Privacy-Preserving Stealth Address Protocol via Additively Homomorphic Encryption. CoRR abs/2312.10698 (2023) - 2022
- [j274]Ye Tian, Langchun Si, Xingyi Zhang, Ran Cheng, Cheng He, Kay Chen Tan, Yaochu Jin:
Evolutionary Large-Scale Multi-Objective Optimization: A Survey. ACM Comput. Surv. 54(8): 174:1-174:34 (2022) - [j273]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times. Evol. Comput. 30(2): 221-251 (2022) - [j272]Ye Tian, Haowen Chen, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization. IEEE CAA J. Autom. Sinica 9(10): 1801-1817 (2022) - [j271]Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Hybrid attention-based transformer block model for distant supervision relation extraction. Neurocomputing 470: 29-39 (2022) - [j270]Qing Chen, Yaochu Jin, Yongduan Song:
Fault-tolerant adaptive tracking control of Euler-Lagrange systems - An echo state network approach driven by reinforcement learning. Neurocomputing 484: 109-116 (2022) - [j269]Yajun Ru, Xihe Qiu, Xiaoyu Tan, Bin Chen, Yongbin Gao, Yaochu Jin:
Sparse-attentive meta temporal point process for clinical decision support. Neurocomputing 485: 114-123 (2022) - [j268]Qingshan Liu, Zhigang Zeng, Yaochu Jin:
Distributed machine learning, optimization and applications. Neurocomputing 489: 486-487 (2022) - [j267]Dong Han, Wenli Du, Yaochu Jin, Wei Du, Guo Yu:
A fuzzy constraint handling technique for decomposition-based constrained multi- and many-objective optimization. Inf. Sci. 597: 318-340 (2022) - [j266]Sheng Qi, Juan Zou, Shengxiang Yang, Yaochu Jin, Jinhua Zheng, Xu Yang:
A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization. Inf. Sci. 609: 1601-1620 (2022) - [j265]Shaotao Chen, Xihe Qiu, Xiaoyu Tan, Zhijun Fang, Yaochu Jin:
A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings. Inf. Sci. 611: 47-64 (2022) - [j264]Xiaoshu Xiang, Ye Tian, Ran Cheng, Xingyi Zhang, Shengxiang Yang, Yaochu Jin:
A benchmark generator for online dynamic single-objective and multi-objective optimization problems. Inf. Sci. 613: 591-608 (2022) - [j263]Xihe Qiu, Xiaoyu Tan, Qiong Li, Shaotao Chen, Yajun Ru, Yaochu Jin:
A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support. Knowl. Based Syst. 237: 107689 (2022) - [j262]Qiqi Liu, Yaochu Jin, Martin Heiderich, Tobias Rodemann:
Surrogate-assisted evolutionary optimization of expensive many-objective irregular problems. Knowl. Based Syst. 240: 108197 (2022) - [j261]Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
Information maximization clustering via multi-view self-labelling. Knowl. Based Syst. 250: 109042 (2022) - [j260]Tonghao Wang, Xingguang Peng, Yaochu Jin, Demin Xu:
Experience Sharing Based Memetic Transfer Learning for Multiagent Reinforcement Learning. Memetic Comput. 14(1): 3-17 (2022) - [j259]Ran Cheng, Jinliang Ding, Wenli Du, Yaochu Jin:
Thematic issue on knowledge and data driven evolutionary multi-objective optimization. Memetic Comput. 14(2): 133-134 (2022) - [j258]Xiangyu Wang, Bingran Zhang, Jian Wang, Kai Zhang, Yaochu Jin:
A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization. Swarm Evol. Comput. 71: 101083 (2022) - [j257]Lianghao Li, Cheng He, Ran Cheng, Hongbin Li, Linqiang Pan, Yaochu Jin:
A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization. Swarm Evol. Comput. 75: 101181 (2022) - [j256]Ye Tian, Shichen Peng, Shangshang Yang, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Action Command Encoding for Surrogate-Assisted Neural Architecture Search. IEEE Trans. Cogn. Dev. Syst. 14(3): 1129-1142 (2022) - [j255]Qiqi Liu, Yaochu Jin, Martin Heiderich, Tobias Rodemann, Guo Yu:
An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems. IEEE Trans. Cybern. 52(5): 2698-2711 (2022) - [j254]Ye Tian, Chang Lu, Xingyi Zhang, Fan Cheng, Yaochu Jin:
A Pattern Mining-Based Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems. IEEE Trans. Cybern. 52(7): 6784-6797 (2022) - [j253]Ye Tian, Yajie Zhang, Yansen Su, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 52(9): 9559-9572 (2022) - [j252]Xinjie Wang, Yaochu Jin, Kuangrong Hao:
Computational Modeling of Structural Synaptic Plasticity in Echo State Networks. IEEE Trans. Cybern. 52(10): 11254-11266 (2022) - [j251]Sutong Wang, Yunqiang Yin, Dujuan Wang, Yanzhang Wang, Yaochu Jin:
Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis. IEEE Trans. Cybern. 52(12): 12623-12637 (2022) - [j250]Wei Du, Wenjiang Song, Yang Tang, Yaochu Jin, Feng Qian:
Searching for Robustness Intervals in Evolutionary Robust Optimization. IEEE Trans. Evol. Comput. 26(1): 58-72 (2022) - [j249]Hangyu Zhu, Yaochu Jin:
Real-Time Federated Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 26(2): 364-378 (2022) - [j248]Xiangyu Wang, Kai Zhang, Jian Wang, Yaochu Jin:
An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(5): 859-871 (2022) - [j247]Haoyu Zhang, Yaochu Jin, Kuangrong Hao:
Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing. IEEE Trans. Evol. Comput. 26(5): 1072-1086 (2022) - [j246]Guo Yu, Lianbo Ma, Yaochu Jin, Wenli Du, Qiqi Liu, Hengmin Zhang:
A Survey on Knee-Oriented Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 26(6): 1452-1472 (2022) - [j245]Ye Tian, Yuandong Feng, Chao Wang, Ruifen Cao, Xingyi Zhang, Xi Pei, Kay Chen Tan, Yaochu Jin:
A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning. IEEE Trans. Evol. Comput. 26(6): 1511-1525 (2022) - [j244]Xiaoshu Xiang, Ye Tian, Xingyi Zhang, Jianhua Xiao, Yaochu Jin:
A Pairwise Proximity Learning-Based Ant Colony Algorithm for Dynamic Vehicle Routing Problems. IEEE Trans. Intell. Transp. Syst. 23(6): 5275-5286 (2022) - [j243]Jinjin Xu, Wenli Du, Yaochu Jin, Wangli He, Ran Cheng:
Ternary Compression for Communication-Efficient Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1162-1176 (2022) - [j242]Shangshang Yang, Ye Tian, Cheng He, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4861-4875 (2022) - [j241]Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7461-7474 (2022) - [j240]Dan Guo, Xilu Wang, Kailai Gao, Yaochu Jin, Jinliang Ding, Tianyou Chai:
Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network. IEEE Trans. Syst. Man Cybern. Syst. 52(4): 2084-2097 (2022) - [j239]Jianchang Liu, Yuanchao Liu, Yaochu Jin, Fei Li:
A Decision Variable Assortment-Based Evolutionary Algorithm for Dominance Robust Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(5): 3360-3375 (2022) - [j238]Yuanchao Liu, Jianchang Liu, Yaochu Jin:
Surrogate-Assisted Multipopulation Particle Swarm Optimizer for High-Dimensional Expensive Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(7): 4671-4684 (2022) - [j237]Qiqi Liu, Ran Cheng, Yaochu Jin, Martin Heiderich, Tobias Rodemann:
Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7760-7773 (2022) - [c166]Jinbao Wang, Guoyang Xie, Yawen Huang, Yefeng Zheng, Yaochu Jin, Feng Zheng:
FedMed-ATL: Misaligned Unpaired Cross-Modality Neuroimage Synthesis via Affine Transform Loss. ACM Multimedia 2022: 1522-1531 - [c165]Yitian Hong, Yaochu Jin, Yang Tang:
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning. NeurIPS 2022 - [e13]Zhongzhi Shi, Yaochu Jin, Xiangrong Zhang:
Intelligence Science IV - 5th IFIP TC 12 International Conference, ICIS 2022, Xi'an, China, October 28-31, 2022, Proceedings. IFIP Advances in Information and Communication Technology 659, Springer 2022, ISBN 978-3-031-14902-3 [contents] - [i45]Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Jingkuan Song, Yaochu Jin:
FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis. CoRR abs/2201.08953 (2022) - [i44]Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Yaochu Jin:
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss. CoRR abs/2201.12589 (2022) - [i43]Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features. CoRR abs/2202.06914 (2022) - [i42]Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Yaochu Jin:
A Survey of Cross-Modality Brain Image Synthesis. CoRR abs/2202.06997 (2022) - [i41]Xi Jiang, Guoyang Xie, Jinbao Wang, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin:
A Survey of Visual Sensory Anomaly Detection. CoRR abs/2202.07006 (2022) - [i40]Shiqing Liu, Haoyu Zhang, Yaochu Jin:
A Survey on Surrogate-assisted Efficient Neural Architecture Search. CoRR abs/2206.01520 (2022) - [i39]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Recent Advances in Bayesian Optimization. CoRR abs/2206.03301 (2022) - [i38]Jia Liu, Ran Cheng, Yaochu Jin:
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures. CoRR abs/2207.05321 (2022) - [i37]Guo Yu, Lianbo Ma, Wei Du, Wenli Du, Yaochu Jin:
Towards Fairness-Aware Multi-Objective Optimization. CoRR abs/2207.12138 (2022) - [i36]Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. CoRR abs/2208.04321 (2022) - [i35]Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin:
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues. CoRR abs/2208.10658 (2022) - [i34]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives. CoRR abs/2208.12217 (2022) - [i33]Yitian Hong, Yaochu Jin, Yang Tang:
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2209.09640 (2022) - [i32]Qiqi Liu, Yuping Yan, Péter Ligeti, Yaochu Jin:
A Secure Federated Data-Driven Evolutionary Multi-objective Optimization Algorithm. CoRR abs/2210.08295 (2022) - [i31]Shiqing Liu, Xueming Yan, Yaochu Jin:
End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location. CoRR abs/2210.15220 (2022) - [i30]Shiqiang Zhu, Ting Yu, Tao Xu, Hongyang Chen, Schahram Dustdar, Sylvain Gigan, Deniz Gündüz, Ekram Hossain, Yaochu Jin, Feng Lin, Bo Liu, Zhiguo Wan, Ji Zhang, Zhifeng Zhao, Wentao Zhu, Zuoning Chen, Tariq Durrani, Huaimin Wang, Jiangxing Wu, Tongyi Zhang, Yunhe Pan:
Intelligent Computing: The Latest Advances, Challenges and Future. CoRR abs/2211.11281 (2022) - 2021
- [j236]Huaming Chen, Fuyi Li, Lei Wang, Yaochu Jin, Chi-Hung Chi, Lukasz A. Kurgan, Jiangning Song, Jun Shen:
Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions. Briefings Bioinform. 22(3) (2021) - [j235]Haibo He, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(1): 18-20 (2021) - [j234]Handing Wang, Liang Feng, Yaochu Jin, John Doherty:
Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios. IEEE Comput. Intell. Mag. 16(1): 34-48 (2021) - [j233]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(2): 11-76 (2021) - [j232]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(3): 5-7, 94 (2021) - [j231]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(4): 14-16 (2021) - [j230]Liang Feng, Handing Wang, Yew-Soon Ong, Kay Chen Tan, Yaochu Jin:
[Guest Editorial]. IEEE Comput. Intell. Mag. 16(4): 17-18 (2021) - [j229]Ruochen Liu, Jianxia Li, Yaochu Jin, Licheng Jiao:
A Self-Adaptive Response Strategy for Dynamic Multiobjective Evolutionary Optimization Based on Objective Space Decomposition. Evol. Comput. 29(4): 491-519 (2021) - [j228]Yicun Hua, Qiqi Liu, Kuangrong Hao, Yaochu Jin:
A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts. IEEE CAA J. Autom. Sinica 8(2): 303-318 (2021) - [j227]Xinjie Wang, Yaochu Jin, Kuangrong Hao:
Synergies between synaptic and intrinsic plasticity in echo state networks. Neurocomputing 432: 32-43 (2021) - [j226]Jia Liu, Yaochu Jin:
Multi-objective search of robust neural architectures against multiple types of adversarial attacks. Neurocomputing 453: 73-84 (2021) - [j225]Xiaojun Zhou, Jituo Tian, Jianpeng Long, Yaochu Jin, Guo Yu, Chunhua Yang:
A fast constrained state transition algorithm. Neurocomputing 455: 202-214 (2021) - [j224]Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang, Jianting Ning:
Distributed additive encryption and quantization for privacy preserving federated deep learning. Neurocomputing 463: 309-327 (2021) - [j223]Hangyu Zhu, Jinjin Xu, Shiqing Liu, Yaochu Jin:
Federated learning on non-IID data: A survey. Neurocomputing 465: 371-390 (2021) - [j222]Hao Wang, Chaoli Sun, Guochen Zhang, Jonathan E. Fieldsend, Yaochu Jin:
Non-dominated sorting on performance indicators for evolutionary many-objective optimization. Inf. Sci. 551: 23-38 (2021) - [j221]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer, Richard Allmendinger:
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times. Knowl. Based Syst. 227: 107190 (2021) - [j220]Jinjin Xu, Yaochu Jin, Wenli Du, Sai Gu:
A federated data-driven evolutionary algorithm. Knowl. Based Syst. 233: 107532 (2021) - [j219]Sutong Wang, Yunqiang Yin, Dujuan Wang, Zehui Lv, Yanzhang Wang, Yaochu Jin:
An interpretable deep neural network for colorectal polyp diagnosis under colonoscopy. Knowl. Based Syst. 234: 107568 (2021) - [j218]Pengfei Huang, Handing Wang, Yaochu Jin:
Offline data-driven evolutionary optimization based on tri-training. Swarm Evol. Comput. 60: 100800 (2021) - [j217]Ataollah Ramezan Shirazi, Yaochu Jin:
Regulated Morphogen Gradients for Target Surrounding and Adaptive Shape Formation. IEEE Trans. Cogn. Dev. Syst. 13(4): 818-826 (2021) - [j216]Shuai Wang, Jing Liu, Yaochu Jin:
Finding Influential Nodes in Multiplex Networks Using a Memetic Algorithm. IEEE Trans. Cybern. 51(2): 900-912 (2021) - [j215]Ye Tian, Chang Lu, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks. IEEE Trans. Cybern. 51(6): 3115-3128 (2021) - [j214]Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin:
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). IEEE Trans. Cybern. 51(6): 3129-3142 (2021) - [j213]Ye Tian, Tao Zhang, Jianhua Xiao, Xingyi Zhang, Yaochu Jin:
A Coevolutionary Framework for Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 25(1): 102-116 (2021) - [j212]Guo Yu, Yaochu Jin, Markus Olhofer:
A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships. IEEE Trans. Evol. Comput. 25(1): 145-158 (2021) - [j211]Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance. IEEE Trans. Evol. Comput. 25(2): 371-385 (2021) - [j210]Ye Tian, Ruchen Liu, Xingyi Zhang, Haiping Ma, Kay Chen Tan, Yaochu Jin:
A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 25(3): 405-418 (2021) - [j209]Shuai Wang, Jing Liu, Yaochu Jin:
A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization. IEEE Trans. Evol. Comput. 25(3): 419-432 (2021) - [j208]Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(3): 448-462 (2021) - [j207]Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao:
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A. IEEE Trans. Evol. Comput. 25(4): 609-629 (2021) - [j206]Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao:
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B. IEEE Trans. Evol. Comput. 25(4): 630-650 (2021) - [j205]Shufen Qin, Chaoli Sun, Yaochu Jin, Ying Tan, Jonathan E. Fieldsend:
Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling. IEEE Trans. Evol. Comput. 25(4): 724-738 (2021) - [j204]Zhenshou Song, Handing Wang, Cheng He, Yaochu Jin:
A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization. IEEE Trans. Evol. Comput. 25(6): 1013-1027 (2021) - [j203]Sampo Kuutti, Richard Bowden, Yaochu Jin, Phil Barber, Saber Fallah:
A Survey of Deep Learning Applications to Autonomous Vehicle Control. IEEE Trans. Intell. Transp. Syst. 22(2): 712-733 (2021) - [j202]Feng Qian, Yaochu Jin, Si-Zhao Joe Qin, Kai Sundmacher:
Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3294-3295 (2021) - [j201]Huangke Chen, Ran Cheng, Witold Pedrycz, Yaochu Jin:
Solving Many-Objective Optimization Problems via Multistage Evolutionary Search. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3552-3564 (2021) - [c164]Jiacheng Xu, Zhijun Fang, Yongbin Gao, Siwei Ma, Yaochu Jin, Heng Zhou, Anjie Wang:
Point AE-DCGAN: A deep learning model for 3D point cloud lossy geometry compression. DCC 2021: 379 - [c163]Yaochu Jin:
Multi-objective Evolutionary Federated Learning. IoTBDS 2021: 5 - [c162]Lucas Z. Bissaro, Yaochu Jin, Murillo G. Carneiro:
Regular echo state networks: simple and accurate reservoir models to real-world applications. SAC 2021: 1063-1069 - [p12]Hangyu Zhu, Yaochu Jin:
Toward Real-Time Federated Evolutionary Neural Architecture Search. Automated Design of Machine Learning and Search Algorithms 2021: 133-147 - [i29]Yan Xiao, Yaochu Jin, Kuangrong Hao:
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification. CoRR abs/2101.03526 (2021) - [i28]Jia Liu, Yaochu Jin:
Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks. CoRR abs/2101.06507 (2021) - [i27]Jinjin Xu, Yaochu Jin, Wenli Du, Sai Gu:
A Federated Data-Driven Evolutionary Algorithm. CoRR abs/2102.08288 (2021) - [i26]Guoyang Xie, Jinbao Wang, Guo Yu, Feng Zheng, Yaochu Jin:
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search. CoRR abs/2103.00363 (2021) - [i25]Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
Information Maximization Clustering via Multi-View Self-Labelling. CoRR abs/2103.07368 (2021) - [i24]Ye Tian, Xingyi Zhang, Cheng He, Kay Chen Tan, Yaochu Jin:
Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics. CoRR abs/2105.10657 (2021) - [i23]Hangyu Zhu, Jinjin Xu, Shiqing Liu, Yaochu Jin:
Federated Learning on Non-IID Data: A Survey. CoRR abs/2106.06843 (2021) - [i22]Jinjin Xu, Yaochu Jin, Wenli Du:
A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization. CoRR abs/2106.12086 (2021) - [i21]Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang:
PIVODL: Privacy-preserving vertical federated learning over distributed labels. CoRR abs/2108.11444 (2021) - [i20]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times. CoRR abs/2108.13339 (2021) - 2020
- [j200]Sutong Wang, Yuyan Wang, Dujuan Wang, Yunqiang Yin, Yanzhang Wang, Yaochu Jin:
An improved random forest-based rule extraction method for breast cancer diagnosis. Appl. Soft Comput. 86 (2020) - [j199]Handing Wang, Yaochu Jin, Cuie Yang, Licheng Jiao:
Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm. Appl. Soft Comput. 92: 106276 (2020) - [j198]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(1): 19-21 (2020) - [j197]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(2): 11-13 (2020) - [j196]Shuai Wang, Jing Liu, Yaochu Jin:
Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm. IEEE Comput. Intell. Mag. 15(2): 24-35 (2020) - [j195]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(3): 12-14 (2020) - [j194]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(4): 5-7 (2020) - [j193]Yan Zhou, Yaochu Jin, Jinliang Ding:
Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines. Neurocomputing 406: 12-23 (2020) - [j192]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization. Inf. Sci. 519: 317-331 (2020) - [j191]Yuanchao Liu, Jianchang Liu, Yaochu Jin, Fei Li, Tianzi Zheng:
An affinity propagation clustering based particle swarm optimizer for dynamic optimization. Knowl. Based Syst. 195: 105711 (2020) - [j190]Yuanjun Huang, Yaochu Jin, Kuangrong Hao:
Decision-making and multi-objectivization for cost sensitive robust optimization over time. Knowl. Based Syst. 199: 105857 (2020) - [j189]Yang Chen, Yaochu Jin, Xiaoyan Sun:
Language model based interactive estimation of distribution algorithm. Knowl. Based Syst. 200: 105980 (2020) - [j188]Peng Liao, Chaoli Sun, Guochen Zhang, Yaochu Jin:
Multi-surrogate multi-tasking optimization of expensive problems. Knowl. Based Syst. 205: 106262 (2020) - [j187]Ye Tian, Shichen Peng, Xingyi Zhang, Tobias Rodemann, Kay Chen Tan, Yaochu Jin:
A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks. IEEE Trans. Artif. Intell. 1(1): 5-18 (2020) - [j186]Zhen Yang, Yongsheng Ding, Yaochu Jin, Kuangrong Hao:
Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service. IEEE Trans. Cybern. 50(1): 164-177 (2020) - [j185]Handing Wang, Yaochu Jin:
A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems. IEEE Trans. Cybern. 50(2): 536-549 (2020) - [j184]Xingyi Zhang, Kefei Zhou, Hebin Pan, Lei Zhang, Xiangxiang Zeng, Yaochu Jin:
A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks. IEEE Trans. Cybern. 50(2): 703-716 (2020) - [j183]Ye Tian, Xingyi Zhang, Ran Cheng, Cheng He, Yaochu Jin:
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling. IEEE Trans. Cybern. 50(3): 1106-1119 (2020) - [j182]Guo Yu, Yaochu Jin, Markus Olhofer:
Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization. IEEE Trans. Cybern. 50(8): 3531-3544 (2020) - [j181]Ye Tian, Xiutao Zheng, Xingyi Zhang, Yaochu Jin:
Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer. IEEE Trans. Cybern. 50(8): 3696-3708 (2020) - [j180]Yanan Sun, Handing Wang, Bing Xue, Yaochu Jin, Gary G. Yen, Mengjie Zhang:
Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor. IEEE Trans. Evol. Comput. 24(2): 350-364 (2020) - [j179]Ye Tian, Xingyi Zhang, Chao Wang, Yaochu Jin:
An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 24(2): 380-393 (2020) - [j178]Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai:
Offline Data-Driven Multiobjective Optimization: Knowledge Transfer Between Surrogates and Generation of Final Solutions. IEEE Trans. Evol. Comput. 24(3): 409-423 (2020) - [j177]Shuai Wang, Jing Liu, Yaochu Jin:
Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding. IEEE Trans. Evol. Comput. 24(4): 735-749 (2020) - [j176]Celimuge Wu, Yaochu Jin, Jie Li, Kok-Lim Alvin Yau, Junaid Qadir:
Guest Editorial Special Issue on Big Data and Computational Intelligence for Agile Wireless IoT. IEEE Trans. Emerg. Top. Comput. Intell. 4(3): 202-205 (2020) - [j175]Adam Slowik, Krzysztof Cpalka, Yaochu Jin:
Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems. IEEE Trans. Fuzzy Syst. 28(6): 1019-1022 (2020) - [j174]Hangyu Zhu, Yaochu Jin:
Multi-Objective Evolutionary Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1310-1322 (2020) - [j173]Xinjie Wang, Yaochu Jin, Kuangrong Hao:
Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1363-1374 (2020) - [j172]Yang Chen, Xiaoyan Sun, Yaochu Jin:
Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4229-4238 (2020) - [j171]Li Huang, Yongsheng Ding, MengChu Zhou, Yaochu Jin, Kuangrong Hao:
Multiple-Solution Optimization Strategy for Multirobot Task Allocation. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4283-4294 (2020) - [c161]Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin:
Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO. CEC 2020: 1-8 - [c160]Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Yaochu Jin, Ricardo Cerri:
Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm. GECCO Companion 2020: 143-144 - [c159]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. GECCO 2020: 587-594 - [c158]Huaming Chen, Yaochu Jin, Lei Wang, Chi-Hung Chi, Jun Shen:
HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction. IJCNN 2020: 1-8 - [c157]Rahma Fourati, Boudour Ammar, Yaochu Jin, Adel M. Alimi:
EEG feature learning with Intrinsic Plasticity based Deep Echo State Network. IJCNN 2020: 1-8 - [c156]Xinjie Wang, Yaochu Jin, Kuangrong Hao:
A Gated Recurrent Unit based Echo State Network. IJCNN 2020: 1-7 - [c155]Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin:
Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions. PACBB 2020: 91-101 - [c154]Guoxia Fu, Chaoli Sun, Ying Tan, Guochen Zhang, Yaochu Jin:
A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems. PPSN (1) 2020: 125-139 - [c153]Nitin Naik, Paul Jenkins, Roger Cooke, Jonathan Gillett, Yaochu Jin:
Evaluating Automatically Generated YARA Rules and Enhancing Their Effectiveness. SSCI 2020: 1146-1153 - [p11]Tinkle Chugh, Chaoli Sun, Handing Wang, Yaochu Jin:
Surrogate-Assisted Evolutionary Optimization of Large Problems. High-Performance Simulation-Based Optimization 2020: 165-187 - [i19]Hangyu Zhu, Yaochu Jin:
Real-time Federated Evolutionary Neural Architecture Search. CoRR abs/2003.02793 (2020) - [i18]Jinjin Xu, Wenli Du, Ran Cheng, Wangli He, Yaochu Jin:
Ternary Compression for Communication-Efficient Federated Learning. CoRR abs/2003.03564 (2020) - [i17]Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction. CoRR abs/2003.11518 (2020) - [i16]Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search. CoRR abs/2003.11613 (2020) - [i15]Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Yaochu Jin, Ricardo Cerri:
Generation of Consistent Sets of Multi-Label Classification Rules with a Multi-Objective Evolutionary Algorithm. CoRR abs/2003.12526 (2020) - [i14]Hangyu Zhu, Haoyu Zhang, Yaochu Jin:
From Federated Learning to Federated Neural Architecture Search: A Survey. CoRR abs/2009.05868 (2020) - [i13]Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization. CoRR abs/2011.04094 (2020) - [i12]Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang, Jianting Ning:
Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning. CoRR abs/2011.12623 (2020) - [i11]Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai:
Incremental Data-driven Optimization of Complex Systems in Nonstationary Environments. CoRR abs/2012.07225 (2020)
2010 – 2019
- 2019
- [j170]Yuyan Wang, Dujuan Wang, Na Geng, Yanzhang Wang, Yunqiang Yin, Yaochu Jin:
Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection. Appl. Soft Comput. 77: 188-204 (2019) - [j169]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(1): 10-12 (2019) - [j168]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(2): 13-15 (2019) - [j167]Ye Tian, Ran Cheng, Xingyi Zhang, Miqing Li, Yaochu Jin:
Diversity Assessment of Multi-Objective Evolutionary Algorithms: Performance Metric and Benchmark Problems [Research Frontier]. IEEE Comput. Intell. Mag. 14(3): 61-74 (2019) - [j166]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(4): 8-10 (2019) - [j165]Xinjie Wang, Yaochu Jin, Kuangrong Hao:
Echo state networks regulated by local intrinsic plasticity rules for regression. Neurocomputing 351: 111-122 (2019) - [j164]Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang, Yaochu Jin:
A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization. Inf. Sci. 471: 80-96 (2019) - [j163]Yuyan Wang, Dujuan Wang, Xin Ye, Yanzhang Wang, Yunqiang Yin, Yaochu Jin:
A tree ensemble-based two-stage model for advanced-stage colorectal cancer survival prediction. Inf. Sci. 474: 106-124 (2019) - [j162]Dong Han, Wenli Du, Wei Du, Yaochu Jin, Chunping Wu:
An adaptive decomposition-based evolutionary algorithm for many-objective optimization. Inf. Sci. 491: 204-222 (2019) - [j161]Jinliang Ding, Yaochu Jin:
To the special Issue on "Metaheuristics for optimization of complex process engineering". Nat. Comput. 18(4): 677-678 (2019) - [j160]Dujuan Wang, Feng Liu, Yaochu Jin:
A proactive scheduling approach to steel rolling process with stochastic machine breakdown. Nat. Comput. 18(4): 679-694 (2019) - [j159]Xin Ye, Jia Li, Sihao Liu, Jiwei Liang, Yaochu Jin:
A hybrid instance-intensive workflow scheduling method in private cloud environment. Nat. Comput. 18(4): 735-746 (2019) - [j158]Fan Guo, Lihong Ren, Yaochu Jin, Yongsheng Ding:
A dynamic SVR-ARMA model with improved fruit fly algorithm for the nonlinear fiber stretching process. Nat. Comput. 18(4): 747-756 (2019) - [j157]Murillo G. Carneiro, Ran Cheng, Liang Zhao, Yaochu Jin:
Particle swarm optimization for network-based data classification. Neural Networks 110: 243-255 (2019) - [j156]Qinqin Fan, Yaochu Jin, Weili Wang, Xuefeng Yan:
A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation. Swarm Evol. Comput. 44: 1-17 (2019) - [j155]Cuie Yang, Jinliang Ding, Yaochu Jin, Chengzhi Wang, Tianyou Chai:
Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes. IEEE Trans Autom. Sci. Eng. 16(3): 1046-1057 (2019) - [j154]Yuyan Han, Dunwei Gong, Yaochu Jin, Quan-Ke Pan:
Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns. IEEE Trans. Cybern. 49(1): 184-197 (2019) - [j153]Dan Guo, Yaochu Jin, Jinliang Ding, Tianyou Chai:
Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems. IEEE Trans. Cybern. 49(3): 1012-1025 (2019) - [j152]Yicun Hua, Yaochu Jin, Kuangrong Hao:
A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts. IEEE Trans. Cybern. 49(7): 2758-2770 (2019) - [j151]Miao Rong, Dunwei Gong, Yong Zhang, Yaochu Jin, Witold Pedrycz:
Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems. IEEE Trans. Cybern. 49(9): 3362-3374 (2019) - [j150]Xingguang Peng, Yaochu Jin, Handing Wang:
Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization. IEEE Trans. Cybern. 49(9): 3507-3520 (2019) - [j149]Jinliang Ding, Cuie Yang, Yaochu Jin, Tianyou Chai:
Generalized Multitasking for Evolutionary Optimization of Expensive Problems. IEEE Trans. Evol. Comput. 23(1): 44-58 (2019) - [j148]Linqiang Pan, Cheng He, Ye Tian, Handing Wang, Xingyi Zhang, Yaochu Jin:
A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(1): 74-88 (2019) - [j147]Handing Wang, Yaochu Jin, Chaoli Sun, John Doherty:
Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles. IEEE Trans. Evol. Comput. 23(2): 203-216 (2019) - [j146]Ye Tian, Ran Cheng, Xingyi Zhang, Yansen Su, Yaochu Jin:
A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(2): 331-345 (2019) - [j145]Yaochu Jin, Handing Wang, Tinkle Chugh, Dan Guo, Kaisa Miettinen:
Data-Driven Evolutionary Optimization: An Overview and Case Studies. IEEE Trans. Evol. Comput. 23(3): 442-458 (2019) - [j144]Jie Tian, Ying Tan, Jianchao Zeng, Chaoli Sun, Yaochu Jin:
Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems. IEEE Trans. Evol. Comput. 23(3): 459-472 (2019) - [j143]Zhen Yang, Yaochu Jin, Kuangrong Hao:
A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services. IEEE Trans. Evol. Comput. 23(4): 675-688 (2019) - [j142]Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin, Xin Yao:
Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation. IEEE Trans. Evol. Comput. 23(6): 949-961 (2019) - [j141]Jinliang Ding, Cuie Yang, Qiong Xiao, Tianyou Chai, Yaochu Jin:
Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing. IEEE Trans. Emerg. Top. Comput. Intell. 3(1): 36-48 (2019) - [j140]Chaoli Sun, Handing Wang, Wenli Du, Yaochu Jin:
Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 3(2): 90-92 (2019) - [j139]Wei Du, Weimin Zhong, Yang Tang, Wenli Du, Yaochu Jin:
High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach. IEEE Trans. Ind. Informatics 15(1): 293-304 (2019) - [c152]Huaming Chen, Lei Wang, Yaochu Jin, Chi-Hung Chi, Fucun Li, Huaiyuan Chu, Jun Shen:
Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions. IEEE BigData 2019: 2197-2204 - [c151]Cheng He, Ran Cheng, Yaochu Jin, Xin Yao:
Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion. CEC 2019: 1672-1679 - [c150]Ye Tian, Shangshang Yang, Xingyi Zhang, Yaochu Jin:
Using PlatEMO to Solve Multi-Objective Optimization Problems in Applications: A Case Study on Feature Selection. CEC 2019: 1710-1717 - [c149]Qiqi Liu, Yaochu Jin, Martin Heiderich, Tobias Rodemann:
Adaptation of Reference Vectors for Evolutionary Many-objective Optimization of Problems with Irregular Pareto Fronts. CEC 2019: 1726-1733 - [c148]Hao Wang, Chaoli Sun, Yaochu Jin, Shufen Qin, Haibo Yu:
A Multi-indicator based Selection Strategy for Evolutionary Many-objective Optimization. CEC 2019: 2042-2049 - [c147]Guo Yu, Yaochu Jin, Markus Olhofer:
References or Preferences - Rethinking Many-objective Evolutionary Optimization. CEC 2019: 2410-2417 - [c146]Shufen Qin, Chaoli Sun, Yaochu Jin, Lier Lan, Ying Tan:
A New Selection Strategy for Decomposition-based Evolutionary Many-Objective Optimization. CEC 2019: 2426-2433 - [c145]Guo Yu, Yaochu Jin, Markus Olhofer:
An a priori knee identification multi-objective evolutionary algorithm based on α-dominance. GECCO (Companion) 2019: 241-242 - [c144]Tinkle Chugh, Tomas Kratky, Kaisa Miettinen, Yaochu Jin, Pekka Makkonen:
Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm. GECCO 2019: 1147-1155 - [c143]Yan Zhou, Yaochu Jin, Jinliang Ding:
Evolutionary Optimization of Liquid State Machines for Robust Learning. ISNN (1) 2019: 389-398 - [c142]Jia Liu, Yaochu Jin:
Evolving Hyperparameters for Training Deep Neural Networks against Adversarial Attacks. SSCI 2019: 1778-1785 - [c141]Shufen Qin, Chaoli Sun, Yaochu Jin, Guochen Zhang:
Bayesian Approaches to Surrogate-Assisted Evolutionary Multi-objective Optimization: A Comparative Study. SSCI 2019: 2074-2080 - [c140]Ye Tian, Shichen Peng, Tobias Rodemann, Xingyi Zhang, Yaochu Jin:
Automated Selection of Evolutionary Multi-objective Optimization Algorithms. SSCI 2019: 3225-3232 - [i10]Yang Chen, Xiaoyan Sun, Yaochu Jin:
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation. CoRR abs/1903.07424 (2019) - [i9]Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin:
Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs). CoRR abs/1910.04966 (2019) - [i8]Yu Chen, Yuanyuan Yang, Yaochu Jin, Xiufen Zou:
Identification of Interaction Clusters Using a Semi-supervised Hierarchical Clustering Method. CoRR abs/1910.08864 (2019) - [i7]Yushuai Hu, Yaochu Jin, Runhua Li, Xiangxiang Zhang:
CMSN: Continuous Multi-stage Network and Variable Margin Cosine Loss for Temporal Action Proposal Generation. CoRR abs/1911.06080 (2019) - [i6]Sampo Kuutti, Richard Bowden, Yaochu Jin, Phil Barber, Saber Fallah:
A Survey of Deep Learning Applications to Autonomous Vehicle Control. CoRR abs/1912.10773 (2019) - 2018
- [j138]Fei Li, Ran Cheng, Jianchang Liu, Yaochu Jin:
A two-stage R2 indicator based evolutionary algorithm for many-objective optimization. Appl. Soft Comput. 67: 245-260 (2018) - [j137]Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai:
Incremental data-driven optimization of complex systems in nonstationary environments. Sci. China Inf. Sci. 61(12): 129205:1-129205:3 (2018) - [j136]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(1): 25-27 (2018) - [j135]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(2): 13-15 (2018) - [j134]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(3): 8-11 (2018) - [j133]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(4): 10-12 (2018) - [j132]Shaoze Cui, Dujuan Wang, Yanzhang Wang, Pay-Wen Yu, Yaochu Jin:
An improved support vector machine-based diabetic readmission prediction. Comput. Methods Programs Biomed. 166: 123-135 (2018) - [j131]Chao Qian, Yang Yu, Ke Tang, Yaochu Jin, Xin Yao, Zhi-Hua Zhou:
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. Evol. Comput. 26(2) (2018) - [j130]Zhaomin Chen, Chai Kiat Yeo, Bu-Sung Lee, Chiew Tong Lau, Yaochu Jin:
Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection. Neurocomputing 309: 192-200 (2018) - [j129]Xingyi Zhang, Xiutao Zheng, Ran Cheng, Jianfeng Qiu, Yaochu Jin:
A competitive mechanism based multi-objective particle swarm optimizer with fast convergence. Inf. Sci. 427: 63-76 (2018) - [j128]Haibo Yu, Ying Tan, Jianchao Zeng, Chaoli Sun, Yaochu Jin:
Surrogate-assisted hierarchical particle swarm optimization. Inf. Sci. 454-455: 59-72 (2018) - [j127]Chaoli Sun, Jinliang Ding, Jianchao Zeng, Yaochu Jin:
A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems. Memetic Comput. 10(2): 123-134 (2018) - [j126]Shenkai Gu, Ran Cheng, Yaochu Jin:
Feature selection for high-dimensional classification using a competitive swarm optimizer. Soft Comput. 22(3): 811-822 (2018) - [j125]Hyondong Oh, Ataollah Ramezan Shirazi, Yaochu Jin:
Morphogen diffusion algorithms for tracking and herding using a swarm of kilobots. Soft Comput. 22(6): 1833-1844 (2018) - [j124]Zhenping Xie, Yaochu Jin:
An Extended Reinforcement Learning Framework to Model Cognitive Development With Enactive Pattern Representation. IEEE Trans. Cogn. Dev. Syst. 10(3): 738-750 (2018) - [j123]Yaochu Jin, Kaisa Miettinen, Hisao Ishibuchi:
Guest Editorial Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(1): 1-2 (2018) - [j122]Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin:
A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(1): 97-112 (2018) - [j121]Tinkle Chugh, Yaochu Jin, Kaisa Miettinen, Jussi Hakanen, Karthik Sindhya:
A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(1): 129-142 (2018) - [j120]Ye Tian, Ran Cheng, Xingyi Zhang, Fan Cheng, Yaochu Jin:
An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility. IEEE Trans. Evol. Comput. 22(4): 609-622 (2018) - [j119]Handing Wang, Yaochu Jin, John Doherty:
A Generic Test Suite for Evolutionary Multifidelity Optimization. IEEE Trans. Evol. Comput. 22(6): 836-850 (2018) - [c139]Ye Tian, Xiaoshu Xiang, Xingyi Zhang, Ran Cheng, Yaochu Jin:
Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems. CEC 2018: 1-6 - [c138]Handing Wang, John Doherty, Yaochu Jin:
Hierarchical Surrogate-Assisted Evolutionary Multi-Scenario Airfoil Shape Optimization. CEC 2018: 1-8 - [c137]Guo Yu, Yaochu Jin, Markus Olhofer:
A Method for a Posteriori Identification of Knee Points Based on Solution Density. CEC 2018: 1-8 - [c136]Chaoli Sun, Yaochu Jin, Ying Tan:
Semi-supervised learning assisted particle swarm optimization of computationally expensive problems. GECCO 2018: 45-52 - [i5]Bin Liu, Yaochu Jin:
A Particle Filter based Multi-Objective Optimization Algorithm: PFOPS. CoRR abs/1808.09446 (2018) - [i4]Hangyu Zhu, Yaochu Jin:
Multi-objective Evolutionary Federated Learning. CoRR abs/1812.07478 (2018) - 2017
- [j118]Cheng He, Ye Tian, Yaochu Jin, Xingyi Zhang, Linqiang Pan:
A radial space division based evolutionary algorithm for many-objective optimization. Appl. Soft Comput. 61: 603-621 (2017) - [j117]Jing Liu, Yaxiong Chi, Chen Zhu, Yaochu Jin:
A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps. BMC Bioinform. 18(1): 241:1-241:14 (2017) - [j116]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 12(1): 13-15 (2017) - [j115]Yaochu Jin, Stefanos D. Kollias:
Conference Report on 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) [Conference Reports]. IEEE Comput. Intell. Mag. 12(2): 18-19 (2017) - [j114]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 12(2): 20-22 (2017) - [j113]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 12(3): 6-9 (2017) - [j112]Xingyi Zhang, Fuchen Duan, Lei Zhang, Fan Cheng, Yaochu Jin, Ke Tang:
Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes]. IEEE Comput. Intell. Mag. 12(3): 43-53 (2017) - [j111]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 12(4): 9-11 (2017) - [j110]Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin:
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]. IEEE Comput. Intell. Mag. 12(4): 73-87 (2017) - [j109]Dujuan Wang, Feng Liu, Yaochu Jin:
A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling. Comput. Oper. Res. 79: 279-290 (2017) - [j108]Wissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa:
Classifier ensembles for image identification using multi-objective Pareto features. Neurocomputing 238: 316-327 (2017) - [j107]Shenkai Gu, Yaochu Jin:
Multi-train: A semi-supervised heterogeneous ensemble classifier. Neurocomputing 249: 202-211 (2017) - [j106]Joseph Chrol-Cannon, Yaochu Jin, André Grüning:
An efficient method for online detection of polychronous patterns in spiking neural networks. Neurocomputing 267: 644-650 (2017) - [j105]Yuanjun Huang, Yongsheng Ding, Kuangrong Hao, Yaochu Jin:
A multi-objective approach to robust optimization over time considering switching cost. Inf. Sci. 394: 183-197 (2017) - [j104]Xin Ye, Sihao Liu, Yanli Yin, Yaochu Jin:
User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm. Knowl. Based Syst. 135: 113-124 (2017) - [j103]Yaochu Jin, Jinliang Ding, Yongsheng Ding:
Thematic issue on "bio-inspired learning for data analysis". Memetic Comput. 9(1): 1-2 (2017) - [j102]Hyondong Oh, Ataollah Ramezan Shirazi, Chaoli Sun, Yaochu Jin:
Bio-inspired self-organising multi-robot pattern formation: A review. Robotics Auton. Syst. 91: 83-100 (2017) - [j101]Guangshun Yao, Yongsheng Ding, Yaochu Jin, Kuangrong Hao:
Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system. Soft Comput. 21(15): 4309-4322 (2017) - [j100]Yaochu Jin, Jinliang Ding:
Special issue on "Data-driven evolutionary optimization". Soft Comput. 21(20): 5867-5868 (2017) - [j99]Handing Wang, Yaochu Jin, Xin Yao:
Diversity Assessment in Many-Objective Optimization. IEEE Trans. Cybern. 47(6): 1510-1522 (2017) - [j98]Handing Wang, Yaochu Jin, John Doherty:
Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems. IEEE Trans. Cybern. 47(9): 2664-2677 (2017) - [j97]Yiping Liu, Dunwei Gong, Jing Sun, Yaochu Jin:
A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy. IEEE Trans. Cybern. 47(9): 2689-2702 (2017) - [j96]Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. IEEE Trans. Cybern. 47(12): 4108-4121 (2017) - [j95]Chaoli Sun, Yaochu Jin, Ran Cheng, Jinliang Ding, Jianchao Zeng:
Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems. IEEE Trans. Evol. Comput. 21(4): 644-660 (2017) - [j94]Ran Cheng, Tobias Rodemann, Michael Fischer, Markus Olhofer, Yaochu Jin:
Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation. IEEE Trans. Emerg. Top. Comput. Intell. 1(2): 97-111 (2017) - [j93]Ataollah Ramezan Shirazi, Yaochu Jin:
A Strategy for Self-Organized Coordinated Motion of a Swarm of Minimalist Robots. IEEE Trans. Emerg. Top. Comput. Intell. 1(5): 326-338 (2017) - [c135]Cuie Yang, Jinliang Ding, Kay Chen Tan, Yaochu Jin:
Two-stage assortative mating for multi-objective multifactorial evolutionary optimization. CDC 2017: 76-81 - [c134]Handing Wang, Yaochu Jin:
Efficient nonlinear correlation detection for decomposed search in evolutionary multi-objective optimization. CEC 2017: 649-656 - [c133]Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Yaochu Jin, Tomas Kratky, Pekka Makkonen:
Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system. CEC 2017: 1541-1548 - [c132]Nitin Naik, Paul Jenkins, Roger Cooke, David Ball, Arthur Foster, Yaochu Jin:
Augmented windows fuzzy firewall for preventing denial of service attack. FUZZ-IEEE 2017: 1-6 - [c131]Murillo G. Carneiro, Thiago Henrique Cupertino, Ran Cheng, Yaochu Jin, Liang Zhao:
Nature-Inspired Graph Optimization for Dimensionality Reduction. ICTAI 2017: 1113-1119 - [c130]Spencer Angus Thomas, Yaochu Jin, Josephine Bunch, Ian S. Gilmore:
Enhancing classification of mass spectrometry imaging data with deep neural networks. SSCI 2017: 1-8 - [c129]Jie Tian, Chaoli Sun, Jianchao Zeng, Haibo Yu, Ying Tan, Yaochu Jin:
Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization. SSCI 2017: 1-8 - [e12]Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret M. Wiecek, Yaochu Jin, Christian Grimme:
Evolutionary Multi-Criterion Optimization - 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings. Lecture Notes in Computer Science 10173, Springer 2017, ISBN 978-3-319-54156-3 [contents] - [e11]Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li, Qingfu Zhang, Ying Tan, Martin Middendorf, Yaochu Jin:
Simulated Evolution and Learning - 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings. Lecture Notes in Computer Science 10593, Springer 2017, ISBN 978-3-319-68758-2 [contents] - [e10]Yang Gao, Saber Fallah, Yaochu Jin, Constantina Lekakou:
Towards Autonomous Robotic Systems - 18th Annual Conference, TAROS 2017, Guildford, UK, July 19-21, 2017, Proceedings. Lecture Notes in Computer Science 10454, Springer 2017, ISBN 978-3-319-64106-5 [contents] - [i3]Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin:
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization. CoRR abs/1701.00879 (2017) - [i2]Joseph Chrol-Cannon, Yaochu Jin, André Grüning:
An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network. CoRR abs/1702.05939 (2017) - [i1]Yuan Yuan, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi:
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. CoRR abs/1706.02766 (2017) - 2016
- [j92]Yuyan Han, Dunwei Gong, Yaochu Jin, Quan-Ke Pan:
Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time. Appl. Soft Comput. 42: 229-245 (2016) - [j91]Ricardo Cerri, Rodrigo C. Barros, André C. P. L. F. de Carvalho, Yaochu Jin:
Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinform. 17: 373 (2016) - [j90]Haibo He, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Yaochu Jin:
CIS Publication Spotlight Publication Spotlight. IEEE Comput. Intell. Mag. 11(2): 10-12 (2016) - [j89]Haibo He, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Yaochu Jin:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 11(3): 6, 75 (2016) - [j88]Haibo He, Chin-Teng Lin, Kay Chen Tan, Graham Kendall, Yaochu Jin:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 11(4): 8-10 (2016) - [j87]Yongsheng Ding, Tao Zhang, Lihong Ren, Yaochu Jin, Kuangrong Hao, Lei Chen:
Immune-inspired self-adaptive collaborative control allocation for multi-level stretching processes. Inf. Sci. 342: 81-95 (2016) - [j86]Mohd-Hanif Yusoff, Joseph Chrol-Cannon, Yaochu Jin:
Modeling neural plasticity in echo state networks for classification and regression. Inf. Sci. 364-365: 184-196 (2016) - [j85]Xingyi Zhang, Ye Tian, Yaochu Jin:
Approximate non-dominated sorting for evolutionary many-objective optimization. Inf. Sci. 369: 14-33 (2016) - [j84]Xingguang Peng, Kun Liu, Yaochu Jin:
A dynamic optimization approach to the design of cooperative co-evolutionary algorithms. Knowl. Based Syst. 109: 174-186 (2016) - [j83]Craig Brown, Yaochu Jin, Matthew Leach, Martin Hodgson:
μ JADE: adaptive differential evolution with a small population. Soft Comput. 20(10): 4111-4120 (2016) - [j82]Yaochu Jin:
Editorial IEEE Transactions on Cognitive and Developmental Systems. IEEE Trans. Cogn. Dev. Syst. 8(1): 1-2 (2016) - [j81]Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 20(5): 773-791 (2016) - [j80]Handing Wang, Yaochu Jin, Jan O. Jansen:
Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System. IEEE Trans. Evol. Comput. 20(6): 939-952 (2016) - [c128]Hongmei He, Carsten Maple, Tim Watson, Ashutosh Tiwari, Jörn Mehnen, Yaochu Jin, Bogdan Gabrys:
The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence. CEC 2016: 1015-1021 - [c127]Hongmei He, Ashutosh Tiwari, Jörn Mehnen, Tim Watson, Carsten Maple, Yaochu Jin, Bogdan Gabrys:
Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection. CEC 2016: 1022-1029 - [c126]Yaochu Jin, Cuie Yang, Jinliang Ding, Tianyou Chai:
Reference point based prediction for evolutionary dynamic multiobjective optimization. CEC 2016: 3769-3776 - [c125]Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin:
A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric. CEC 2016: 5222-5229 - [c124]Shi Cheng, Bin Liu, Yuhui Shi, Yaochu Jin, Bin Li:
Evolutionary Computation and Big Data: Key Challenges and Future Directions. DMBD 2016: 3-14 - [c123]Alma As-Aad Rahat, Richard M. Everson, Jonathan E. Fieldsend, Yaochu Jin, Handing Wang:
Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization. GECCO (Companion) 2016: 1265-1266 - [c122]Chao-Li Sun, Yaochu Jin, Jinliang Ding, Jianchao Zeng:
Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems. GECCO (Companion) 2016: 1277-1278 - [c121]Yaochu Jin:
Data Driven Evolutionary Optimization of Complex Systems: Big Data Versus Small Data. GECCO (Companion) 2016: 1281-1282 - [c120]Murillo G. Carneiro, Liang Zhao, Ran Cheng, Yaochu Jin:
Network structural optimization based on swarm intelligence for highlevel classification. IJCNN 2016: 3737-3744 - [c119]Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Jussi Hakanen, Yaochu Jin:
On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization. PPSN 2016: 214-224 - [c118]Andreas Antoniades, Clive Cheong Took, Yaochu Jin:
An improved mini-batching technique: Sample-and-Learn. SSCI 2016: 1-7 - [c117]Dan Guo, Tianyou Chai, Jinliang Ding, Yaochu Jin:
Small data driven evolutionary multi-objective optimization of fused magnesium furnaces. SSCI 2016: 1-8 - [c116]Jussi Hakanen, Tinkle Chugh, Karthik Sindhya, Yaochu Jin, Kaisa Miettinen:
Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms. SSCI 2016: 1-8 - [c115]Yaochu Jin, Stefanos D. Kollias:
Preface from IEEE SSCI 2016 general chairs. SSCI 2016: 1-2 - [c114]Jie Tian, Yin Tan, Chao-Li Sun, Jianchao Zeng, Yaochu Jin:
A self-adaptive similarity-based fitness approximation for evolutionary optimization. SSCI 2016: 1-8 - [c113]Ufuk Yolcu, Yaochu Jin, Erol Egrioglu:
An ensemble of single multiplicative neuron models for probabilistic prediction. SSCI 2016: 1-8 - [c112]Haibo Yu, Yin Tan, Chao-Li Sun, Jianchao Zeng, Yaochu Jin:
An adaptive model selection strategy for surrogate-assisted particle swarm optimization algorithm. SSCI 2016: 1-8 - [c111]Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin:
Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization. SSCI 2016: 1-8 - 2015
- [j79]Tameera Rahman, Mana Mahapatra, Emma Laing, Yaochu Jin:
Evolutionary non-linear modelling for selecting vaccines against antigenically variable viruses. Bioinform. 31(6): 834-840 (2015) - [j78]Joseph Chrol-Cannon, Yaochu Jin:
Learning structure of sensory inputs with synaptic plasticity leads to interference. Frontiers Comput. Neurosci. 9: 103 (2015) - [j77]Ran Cheng, Yaochu Jin:
A social learning particle swarm optimization algorithm for scalable optimization. Inf. Sci. 291: 43-60 (2015) - [j76]Dujuan Wang, Feng Liu, Yanzhang Wang, Yaochu Jin:
A knowledge-based evolutionary proactive scheduling approach in the presence of machine breakdown and deterioration effect. Knowl. Based Syst. 90: 70-80 (2015) - [j75]Bin Yang, Yongsheng Ding, Yaochu Jin, Kuangrong Hao:
Self-organized swarm robot for target search and trapping inspired by bacterial chemotaxis. Robotics Auton. Syst. 72: 83-92 (2015) - [j74]Yanling Jin, Yongsheng Ding, Kuangrong Hao, Yaochu Jin:
An endocrine-based intelligent distributed cooperative algorithm for target tracking in wireless sensor networks. Soft Comput. 19(5): 1427-1441 (2015) - [j73]Yaochu Jin:
Special issue on UKCI 2013. Soft Comput. 19(6): 1443-1444 (2015) - [j72]Chaoli Sun, Yaochu Jin, Jianchao Zeng, Yang Yu:
A two-layer surrogate-assisted particle swarm optimization algorithm. Soft Comput. 19(6): 1461-1475 (2015) - [j71]Tao Zhang, Yaochu Jin, Yongsheng Ding, Kuangrong Hao:
A cytokine network-inspired cooperative control system for multi-stage stretching processes in fiber production. Soft Comput. 19(6): 1523-1540 (2015) - [j70]Yan Wu, Yaochu Jin, Xiaoxiong Liu:
A directed search strategy for evolutionary dynamic multiobjective optimization. Soft Comput. 19(11): 3221-3235 (2015) - [j69]Ran Cheng, Yaochu Jin:
A Competitive Swarm Optimizer for Large Scale Optimization. IEEE Trans. Cybern. 45(2): 191-204 (2015) - [j68]Wissam A. Albukhanajer, Johann A. Briffa, Yaochu Jin:
Evolutionary Multiobjective Image Feature Extraction in the Presence of Noise. IEEE Trans. Cybern. 45(9): 1757-1768 (2015) - [j67]Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin:
An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 19(2): 201-213 (2015) - [j66]Xingyi Zhang, Ye Tian, Yaochu Jin:
A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 19(6): 761-776 (2015) - [j65]Ran Cheng, Yaochu Jin, Kaname Narukawa, Bernhard Sendhoff:
A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. IEEE Trans. Evol. Comput. 19(6): 838-856 (2015) - [j64]Shenkai Gu, Ran Cheng, Yaochu Jin:
Multi-objective ensemble generation. WIREs Data Mining Knowl. Discov. 5(5): 234-245 (2015) - [c110]Ran Cheng, Markus Olhofer, Yaochu Jin:
Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization. CEC 2015: 939-946 - [c109]Yuanjun Huang, Yaochu Jin, Yongsheng Ding:
New performance indicators for robust optimization over time. CEC 2015: 1380-1387 - [c108]Wissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa:
Trade-off between computational complexity and accuracy in evolutionary image feature extraction. CEC 2015: 2412-2419 - [c107]Ran Cheng, Yaochu Jin, Kaname Narukawa:
Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts. EMO (1) 2015: 127-140 - [c106]Yaochu Jin:
Evolutionary Optimization of complex Systems in Uncertain Environments. IFSA-EUSFLAT 2015 - [c105]Yaochu Jin:
Scalable Model based Evolutionary Multi-objective Optimization. IJCCI (ECTA) 2015: 7 - [c104]I-Chen Wu, Chang-Shing Lee, Shun-Chin Hsu, Vincenzo Loia, Yaochu Jin, Chuan-Kang Ting, Shi-Jim Yen, Yung-Gi Wu, Mong-Fong Horng, Chuen-Liang Chen:
General chairs and program chairs message. TAAI 2015: 13-14 - [c103]Hanan S. Alghamdi, Lilian Tang, Yaochu Jin:
Ensemble Learning Optimization for Diabetic Retinopathy Image Analysis. VISAPP (1) 2015: 471-477 - 2014
- [j63]Joseph Chrol-Cannon, Yaochu Jin:
Computational modeling of neural plasticity for self-organization of neural networks. Biosyst. 125: 43-54 (2014) - [j62]Yaochu Jin:
IEEE CIS VP-Technical Activities Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. 9(1): 9-10 (2014) - [j61]Yaochu Jin, Barbara Hammer:
Computational Intelligence in Big Data [Guest Editorial]. IEEE Comput. Intell. Mag. 9(3): 12-13 (2014) - [j60]Spencer Angus Thomas, Yaochu Jin:
Reconstructing biological gene regulatory networks: where optimization meets big data. Evol. Intell. 7(1): 29-47 (2014) - [j59]Christopher Smith, Yaochu Jin:
Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction. Neurocomputing 143: 302-311 (2014) - [j58]Aimin Zhou, Yaochu Jin, Qingfu Zhang:
A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 44(1): 40-53 (2014) - [c102]Wissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa:
Neural network ensembles for image identification using Pareto-optimal features. IEEE Congress on Evolutionary Computation 2014: 89-96 - [c101]Tong Liu, Chaoli Sun, Jianchao Zeng, Songdong Xue, Yaochu Jin:
Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems. IEEE Congress on Evolutionary Computation 2014: 640-646 - [c100]Hyondong Oh, Yaochu Jin:
Evolving hierarchical gene regulatory networks for morphogenetic pattern formation of swarm robots. IEEE Congress on Evolutionary Computation 2014: 776-783 - [c99]Christopher Smith, John Doherty, Yaochu Jin:
Multi-objective evolutionary recurrent neural network ensemble for prediction of computational fluid dynamic simulations. IEEE Congress on Evolutionary Computation 2014: 2609-2616 - [c98]Ran Cheng, Yaochu Jin:
Demonstrator selection in a social learning particle swarm optimizer. IEEE Congress on Evolutionary Computation 2014: 3103-3110 - [c97]Shenkai Gu, Yaochu Jin:
Generating diverse and accurate classifier ensembles using multi-objective optimization. MCDM 2014: 9-15 - [c96]Chao Qian, Yang Yu, Yaochu Jin, Zhi-Hua Zhou:
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. PPSN 2014: 302-311 - [c95]Ataollah Ramezan Shirazi, Hyondong Oh, Yaochu Jin:
Morphogenetic Self-Organization of Collective Movement without Directional Sensing. TAROS 2014: 139-150 - [c94]Hyondong Oh, Yaochu Jin:
Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks. TAROS 2014: 197-208 - [c93]Mohd-Hanif Yusoff, Yaochu Jin:
Modeling neural plasticity in echo state networks for time series prediction. UKCI 2014: 1-7 - [e9]Grant Dick, Will N. Browne, Peter A. Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang:
Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings. Lecture Notes in Computer Science 8886, Springer 2014, ISBN 978-3-319-13562-5 [contents] - 2013
- [j57]Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Yaochu Jin, Bernhard Sendhoff:
Evolution by Adapting Surrogates. Evol. Comput. 21(2): 313-340 (2013) - [j56]Chaoli Sun, Jianchao Zeng, Jeng-Shyang Pan, Songdong Xue, Yaochu Jin:
A new fitness estimation strategy for particle swarm optimization. Inf. Sci. 221: 355-370 (2013) - [j55]Guanbo Jia, Yong Wang, Zixing Cai, Yaochu Jin:
An improved (μ + λ)-constrained differential evolution for constrained optimization. Inf. Sci. 222: 302-322 (2013) - [j54]Spencer Angus Thomas, Yaochu Jin:
Evolving Connectivity between Genetic oscillators and Switches using Evolutionary Algorithms. J. Bioinform. Comput. Biol. 11(3) (2013) - [j53]Yaochu Jin, Ke Tang, Xin Yu, Bernhard Sendhoff, Xin Yao:
A framework for finding robust optimal solutions over time. Memetic Comput. 5(1): 3-18 (2013) - [j52]Yan Meng, Hongliang Guo, Yaochu Jin:
A morphogenetic approach to flexible and robust shape formation for swarm robotic systems. Robotics Auton. Syst. 61(1): 25-38 (2013) - [j51]Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter, Bernhard Sendhoff:
An examination of different fitness and novelty based selection methods for the evolution of neural networks. Soft Comput. 17(5): 753-767 (2013) - [j50]Xiaoyan Sun, Dunwei Gong, Yaochu Jin, Shanshan Chen:
A New Surrogate-Assisted Interactive Genetic Algorithm With Weighted Semisupervised Learning. IEEE Trans. Cybern. 43(2): 685-698 (2013) - [c92]Ran Cheng, Chaoli Sun, Yaochu Jin:
A multi-swarm evolutionary framework based on a feedback mechanism. IEEE Congress on Evolutionary Computation 2013: 718-724 - [c91]Ayang Xiao, Benli Wang, Yaochu Jin:
Evolutionary truss layout optimization using the vectorized structure approach. IEEE Congress on Evolutionary Computation 2013: 2879-2886 - [c90]Chaoli Sun, Jianchao Zeng, Jeng-Shyang Pan, Yaochu Jin:
Similarity-based evolution control for fitness estimation in particle swarm optimization. CIDUE 2013: 1-8 - [c89]Colin P. Smith, John Doherty, Yaochu Jin:
Recurrent neural network ensembles for convergence prediction in surrogate-assisted evolutionary optimization. CIDUE 2013: 9-16 - [c88]Wissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa, Godfried Williams:
A Comparative Study of Multi-objective Evolutionary Trace Transform Methods for Robust Feature Extraction. EMO 2013: 573-586 - [c87]Spencer Angus Thomas, Yaochu Jin:
Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators. EMO 2013: 696-709 - [c86]Jianfeng Lu, Bin Li, Yaochu Jin:
An evolution strategy assisted by an ensemble of local Gaussian process models. GECCO 2013: 447-454 - [c85]Yaochu Jin:
Morphogenetic self-organisation of swarm robots for adaptive pattern formation. ICAC 2013: 1 - [c84]Lili Zhuang, Ke Tang, Yaochu Jin:
Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient. IDEAL 2013: 366-375 - [c83]Spencer Angus Thomas, Yaochu Jin, Emma Laing, Colin P. Smith:
Reconstructing regulatory networks in Streptomyces using evolutionary algorithms. UKCI 2013: 24-30 - [c82]Ran Cheng, Yaochu Jin:
Simulating swarm behaviuors for optimisation by learning from neighbours. UKCI 2013: 82-87 - 2012
- [j49]Lisa Schramm, Yaochu Jin, Bernhard Sendhoff:
Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration. Artif. Life 18(4): 425-444 (2012) - [j48]Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design. IEEE Comput. Intell. Mag. 7(1): 20-35 (2012) - [j47]Yaochu Jin:
¿¿2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2012) [Conference Reports]. IEEE Comput. Intell. Mag. 7(4): 17 (2012) - [j46]Daniel Bush, Yaochu Jin:
Calcium control of triphasic hippocampal STDP. J. Comput. Neurosci. 33(3): 495-514 (2012) - [j45]Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter:
Evolving neural fields for problems with large input and output spaces. Neural Networks 28: 24-39 (2012) - [j44]Hongliang Guo, Yaochu Jin, Yan Meng:
A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage. ACM Trans. Auton. Adapt. Syst. 7(1): 15:1-15:23 (2012) - [j43]Jun Yin, Yan Meng, Yaochu Jin:
A Developmental Approach to Structural Self-Organization in Reservoir Computing. IEEE Trans. Auton. Ment. Dev. 4(4): 273-289 (2012) - [j42]Yaochu Jin, Hongliang Guo, Yan Meng:
A Hierarchical Gene Regulatory Network for Adaptive Multirobot Pattern Formation. IEEE Trans. Syst. Man Cybern. Part B 42(3): 805-816 (2012) - [c81]Wissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa, Godfried Williams:
Evolutionary multi-objective optimization of trace transform for invariant feature extraction. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c80]Spencer Angus Thomas, Yaochu Jin:
Combining genetic oscillators and switches using evolutionary algorithms. CIBCB 2012: 28-34 - [c79]Lisa Schramm, Yaochu Jin, Bernhard Sendhoff:
Quantitative analysis of redundancy in evolution of developmental systems. CIBCB 2012: 61-68 - [c78]Stéphane Doncieux, Yaochu Jin, Jean-Baptiste Mouret:
Evo-devo-robo workshop program. GECCO (Companion) 2012: 355-356 - [c77]Joseph Chrol-Cannon, André Grüning, Yaochu Jin:
The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities. IJCNN 2012: 1-6 - [c76]Shenkai Gu, Yaochu Jin:
Heterogeneous classifier ensembles for EEG-based motor imaginary detection. UKCI 2012: 1-8 - [p10]Yaochu Jin, Yan Meng:
Morphogenetic Robotics: A New Paradigm for Designing Self-Organizing, Self-Reconfigurable and Self-Adaptive Robots. Morphogenetic Engineering, Toward Programmable Complex Systems 2012: 61-87 - 2011
- [j41]Yaochu Jin, Yan Meng:
Emergence of robust regulatory motifs from in silico evolution of sustained oscillation. Biosyst. 103(1): 38-44 (2011) - [j40]Yan Meng, Yuyang Zhang, Yaochu Jin:
Autonomous Self-Reconfiguration of Modular Robots by Evolving a Hierarchical Mechanochemical Model. IEEE Comput. Intell. Mag. 6(1): 43-54 (2011) - [j39]Yuhua Zheng, Yan Meng, Yaochu Jin:
Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways. Neurocomputing 74(17): 3158-3169 (2011) - [j38]Meiqin Liu, Senlin Zhang, Yaochu Jin:
Multi-sensor optimal H∞ fusion filters for delayed nonlinear intelligent systems based on a unified model. Neural Networks 24(3): 280-290 (2011) - [j37]Yaochu Jin:
Surrogate-assisted evolutionary computation: Recent advances and future challenges. Swarm Evol. Comput. 1(2): 61-70 (2011) - [j36]Yaochu Jin, Yan Meng, Juyang Weng, Nikola K. Kasabov:
Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development. IEEE Trans. Auton. Ment. Dev. 3(4): 273-275 (2011) - [j35]Andy M. Tyrrell, Yaochu Jin:
Guest Editorial: Special Issue on Evolving Developmental Systems. IEEE Trans. Evol. Comput. 15(3): 285-286 (2011) - [j34]Yan Meng, Yaochu Jin, Jun Yin:
Modeling Activity-Dependent Plasticity in BCM Spiking Neural Networks With Application to Human Behavior Recognition. IEEE Trans. Neural Networks 22(12): 1952-1966 (2011) - [j33]Yaochu Jin, Yan Meng:
Morphogenetic Robotics: An Emerging New Field in Developmental Robotics. IEEE Trans. Syst. Man Cybern. Part C 41(2): 145-160 (2011) - [c75]Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter:
Evolution of Multisensory Integration in Large Neural Fields. Artificial Evolution 2011: 181-192 - [c74]Jonathan Goh, Lilian Tang, Lutfiah Al Turk, Yaochu Jin:
Combining Particle Swarm Optimisation with Genetic Algorithm for Contextual Analysis of Medical Images. HEALTHINF 2011: 235-241 - [c73]Yaochu Jin:
Morphogenetic self-organization of collective systems. OC@ICAC 2011: 1-2 - [c72]Yan Meng, Yuyang Zhang, Abhay Sampath, Yaochu Jin, Bernhard Sendhoff:
Cross-Ball: A new morphogenetic self-reconfigurable modular robot. ICRA 2011: 267-272 - [c71]Hongliang Guo, Yan Meng, Yaochu Jin:
Swarm robot pattern formation using a morphogenetic multi-cellular based self-organizing algorithm. ICRA 2011: 3205-3210 - [c70]Lisa Schramm, Yaochu Jin, Bernhard Sendhoff:
Redundancy creates opportunity in developmental representations. ALIFE 2011: 203-210 - [c69]Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter:
Exploiting inherent regularity in control of multilegged robot locomotion by evolving neural fields. NaBIC 2011: 401-408 - [p9]Yaochu Jin, Yan Meng:
Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems. Bio-Inspired Self-Organizing Robotic Systems 2011: 3-23 - [p8]Yan Meng, Yaochu Jin:
Morphogenetic Self-Reconfiguration of Modular Robots. Bio-Inspired Self-Organizing Robotic Systems 2011: 143-171 - [e8]Yan Meng, Yaochu Jin:
Bio-Inspired Self-Organizing Robotic Systems. Studies in Computational Intelligence 355, 2011, ISBN 978-3-642-20759-4 [contents] - 2010
- [j32]Yaochu Jin, Yan Meng:
Special Issue on Evolutionary and Developmental Robotics [Guest Editorial]. IEEE Comput. Intell. Mag. 5(3): 9 (2010) - [j31]Yan Meng, Yaochu Jin:
Distributed Multi-Agent Systems for a Collective Construction Task based on Virtual Swarm Intelligence. Int. J. Swarm Intell. Res. 1(2): 58-79 (2010) - [j30]Dudy Lim, Yaochu Jin, Yew-Soon Ong, Bernhard Sendhoff:
Generalizing Surrogate-Assisted Evolutionary Computation. IEEE Trans. Evol. Comput. 14(3): 329-355 (2010) - [c68]Lisa Schramm, Vander Valente Martins, Yaochu Jin, Bernhard Sendhoff:
Analysis of Gene Regulatory Network Motifs in Evolutionary Development of Multicellular Organisms. ALIFE 2010: 133-142 - [c67]Yan Meng, Yuyang Zhang, Yaochu Jin:
A Morphogenetic Approach to Self-Reconfigurable Modular Robots using a Hybrid Hierarchical Gene Regulatory Network. ALIFE 2010: 765-772 - [c66]Hongliang Guo, Yan Meng, Yaochu Jin:
Analysis of local communication load in shape formation of a distributed morphogenetic swarm robotic system. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c65]Yaochu Jin, Sanghoun Oh, Moongu Jeon:
Incremental approximation of nonlinear constraint functions for evolutionary constrained optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c64]Xin Yu, Yaochu Jin, Ke Tang, Xin Yao:
Robust optimization over time - A new perspective on dynamic optimization problems. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c63]Yaochu Jin, Jens Trommler:
A fitness-independent evolvability measure for evolutionary developmental systems. CIBCB 2010: 1-8 - [c62]Till Steiner, Yaochu Jin, Bernhard Sendhoff:
Evolving heterochrony for cellular differentiation using vector field embryogeny. GECCO 2010: 571-578 - [c61]Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter:
NEATfields: evolution of neural fields. GECCO 2010: 645-646 - [c60]Yan Meng, Yaochu Jin, Jun Yin, Matthew Conforth:
Human activity detection using spiking neural networks regulated by a gene regulatory network. IJCNN 2010: 1-6 - [c59]Yuhua Zheng, Yan Meng, Yaochu Jin:
Fusing bottom-up and top-down pathways in neural networks for visual object recognition. IJCNN 2010: 1-8 - [c58]Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao:
Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat. SAB 2010: 587-596
2000 – 2009
- 2009
- [j29]Ingo Paenke, Yaochu Jin, Jürgen Branke:
Balancing Population- and Individual-Level Adaptation in Changing Environments. Adapt. Behav. 17(2): 153-174 (2009) - [j28]Hongliang Guo, Yan Meng, Yaochu Jin:
A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network. Biosyst. 98(3): 193-203 (2009) - [j27]Yaochu Jin, Jennifer Hallinan:
Evolving gene regulatory networks. Biosyst. 98(3) (2009) - [j26]Yaochu Jin, Bernhard Sendhoff:
A systems approach to evolutionary multiobjective structural optimization and beyond. IEEE Comput. Intell. Mag. 4(3): 62-76 (2009) - [j25]Yaochu Jin, Robin Gruna, Bernhard Sendhoff:
Pareto analysis of evolutionary and learning systems. Frontiers Comput. Sci. China 3(1): 4-17 (2009) - [j24]Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
Lamarckian memetic algorithms: local optimum and connectivity structure analysis. Memetic Comput. 1(3): 175-190 (2009) - [j23]Aimin Zhou, Qingfu Zhang, Yaochu Jin:
Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm. IEEE Trans. Evol. Comput. 13(5): 1167-1189 (2009) - [j22]Yaochu Jin, Bernhard Sendhoff:
Corrections to "Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies" [May 08 397-415]. IEEE Trans. Syst. Man Cybern. Part C 39(3): 373 (2009) - [c57]Till Steiner, Jens Trommler, Martin Brenn, Yaochu Jin, Bernhard Sendhoff:
Global shape with morphogen gradients and motile polarized cells. IEEE Congress on Evolutionary Computation 2009: 2225-2232 - [c56]Yaochu Jin, Robin Gruna, Ingo Paenke, Bernhard Sendhoff:
Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations. MCDM 2009: 38-45 - [c55]Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao:
The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism. ECAL (1) 2009: 18-26 - [c54]Lisa Schramm, Yaochu Jin, Bernhard Sendhoff:
Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats. ECAL (1) 2009: 27-34 - [c53]Hongliang Guo, Yan Meng, Yaochu Jin:
Self-adaptive multi-robot construction using gene regulatory networks. ALIFE 2009: 53-60 - [c52]Yaochu Jin, Yan Meng, Bernhard Sendhoff:
Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks. ALIFE 2009: 61-68 - [c51]Yaochu Jin, Hongliang Guo, Yan Meng:
Robustness Analysis and Failure Recovery of a Bio-Inspired Self-Organizing Multi-Robot System. SASO 2009: 154-164 - [p7]Yaochu Jin, Bernhard Sendhoff:
Fuzzy Logic in Evolving in silicoOscillatory Dynamics for Gene Regulatory Networks. Fuzzy Systems in Bioinformatics and Computational Biology 2009: 315-327 - [e7]Yaochu Jin, Lipo Wang:
Fuzzy Systems in Bioinformatics and Computational Biology. Studies in Fuzziness and Soft Computing 242, Springer 2009, ISBN 978-3-540-89967-9 [contents] - 2008
- [j21]Qingfu Zhang, Aimin Zhou, Yaochu Jin:
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm. IEEE Trans. Evol. Comput. 12(1): 41-63 (2008) - [j20]Qingfu Zhang, Aimin Zhou, Yaochu Jin:
Errata to "RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm" [Feb 08 41-63]. IEEE Trans. Evol. Comput. 12(3): 392 (2008) - [j19]Yaochu Jin, Bernhard Sendhoff:
Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies. IEEE Trans. Syst. Man Cybern. Part C 38(3): 397-415 (2008) - [c50]Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao:
Evolving Functional Symmetry in a Three Dimensional Model of an Elongated Organism. ALIFE 2008: 305-312 - [c49]Yaochu Jin, Bernhard Sendhoff:
Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifs. IEEE Congress on Evolutionary Computation 2008: 386-391 - [c48]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff:
Combination of EDA and DE for continuous biobjective optimization. IEEE Congress on Evolutionary Computation 2008: 1447-1454 - [c47]Neale Samways, Yaochu Jin, Xin Yao, Bernhard Sendhoff:
Toward a gene regulatory network model for evolving chemotaxis behavior. IEEE Congress on Evolutionary Computation 2008: 2569-2576 - [c46]Theodor J. Stewart, Oliver Bandte, Heinrich Braun, Nirupam Chakraborti, Matthias Ehrgott, Mathias Göbelt, Yaochu Jin, Hirotaka Nakayama, Silvia Poles, Danilo Di Stefano:
Real-World Applications of Multiobjective Optimization. Multiobjective Optimization 2008: 285-327 - [c45]Till Steiner, Yaochu Jin, Bernhard Sendhoff:
A cellular model for the evolutionary development of lightweight material with an inner structure. GECCO 2008: 851-858 - [c44]Yaochu Jin:
Pareto-optimality is everywhere: From engineering design, machine learning, to biological systems. GEFS 2008: 1 - [c43]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
Evolutionary Optimization with Dynamic Fidelity Computational Models. ICIC (2) 2008: 235-242 - [c42]Yaochu Jin, Lisa Schramm, Bernhard Sendhoff:
A Gene Regulatory Model for the Development of Primitive Nervous Systems. ICONIP (1) 2008: 48-55 - [c41]Ben Jones, Yaochu Jin, Xin Yao, Bernhard Sendhoff:
Evolution of Neural Organization in a Hydra-Like Animat. ICONIP (1) 2008: 216-223 - [c40]Yi Cao, Yaochu Jin, Michal Kowalczykiewicz, Bernhard Sendhoff:
Prediction of convergence dynamics of design performance using differential recurrent neural networks. IJCNN 2008: 528-533 - [p6]Yaochu Jin, Aimin Zhou, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang:
Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms. Multiobjective Problem Solving from Nature 2008: 331-355 - [p5]Yaochu Jin, Bernhard Sendhoff, Edgar Körner:
Rule Extraction from Compact Pareto-optimal Neural Networks. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 71-90 - 2007
- [j18]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee:
Efficient Hierarchical Parallel Genetic Algorithms using Grid computing. Future Gener. Comput. Syst. 23(4): 658-670 (2007) - [c39]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff:
Adaptivemodelling strategy for continuous multi-objective optimization. IEEE Congress on Evolutionary Computation 2007: 431-437 - [c38]Till Steiner, Lisa Schramm, Yaochu Jin, Bernhard Sendhoff:
Emergence of feedback in artificial gene regulatory networks. IEEE Congress on Evolutionary Computation 2007: 867-874 - [c37]Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang:
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. EMO 2007: 832-846 - [c36]Ingo Paenke, Jürgen Branke, Yaochu Jin:
On the Influence of Phenotype Plasticity on Genotype Diversity. FOCI 2007: 33-40 - [c35]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang:
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. GECCO 2007: 617-623 - [c34]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. GECCO 2007: 1288-1295 - [c33]Yaochu Jin:
Pareto-based Multi-Objective Machine Learning. HIS 2007: 2 - [c32]Yaochu Jin, Ruojing Wen, Bernhard Sendhoff:
Evolutionary Multi-objective Optimization of Spiking Neural Networks. ICANN (1) 2007: 370-379 - [p4]Lars Gräning, Yaochu Jin, Bernhard Sendhoff:
Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 225-250 - [p3]Dudy Lim, Yew-Soon Ong, Meng-Hiot Lim, Yaochu Jin:
Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 437-456 - [e6]Shengxiang Yang, Yew-Soon Ong, Yaochu Jin:
Evolutionary Computation in Dynamic and Uncertain Environments. Studies in Computational Intelligence 51, Springer 2007, ISBN 978-3-540-49772-1 [contents] - 2006
- [j17]Shengxiang Yang, Yew-Soon Ong, Yaochu Jin:
Editorial to special issue on evolutionary computation in dynamic and uncertain environments. Genet. Program. Evolvable Mach. 7(4): 293-294 (2006) - [j16]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee:
Inverse multi-objective robust evolutionary design. Genet. Program. Evolvable Mach. 7(4): 383-404 (2006) - [j15]Ingo Paenke, Jürgen Branke, Yaochu Jin:
Efficient search for robust solutions by means of evolutionary algorithms and fitness approximation. IEEE Trans. Evol. Comput. 10(4): 405-420 (2006) - [c31]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
Trusted Evolutionary Algorithm. IEEE Congress on Evolutionary Computation 2006: 149-156 - [c30]Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang:
Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion. IEEE Congress on Evolutionary Computation 2006: 892-899 - [c29]Yaochu Jin, Bernhard Sendhoff:
Alleviating Catastrophic Forgetting via Multi-Objective Learning. IJCNN 2006: 3335-3342 - [c28]Lars Gräning, Yaochu Jin, Bernhard Sendhoff:
Generalization Improvement in Multi-Objective Learning. IJCNN 2006: 4839-4846 - [c27]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang:
Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. PPSN 2006: 443-452 - [p2]Yaochu Jin, Bernhard Sendhoff, Edgar Körner:
Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers. Multi-Objective Machine Learning 2006: 291-312 - [p1]Hanli Wang, Sam Kwong, Yaochu Jin, Chi-Ho Tsang:
Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems. Multi-Objective Machine Learning 2006: 339-364 - [e5]Yaochu Jin:
Multi-Objective Machine Learning. Studies in Computational Intelligence 16, Springer 2006, ISBN 978-3-540-30676-4 [contents] - 2005
- [j14]Hanli Wang, Sam Kwong, Yaochu Jin, Wei Wei, Kim-Fung Man:
Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction. Fuzzy Sets Syst. 149(1): 149-186 (2005) - [j13]Yaochu Jin, Sushil J. Louis, Khaled Rasheed:
Guest Editorial. Soft Comput. 9(1): 1-2 (2005) - [j12]Yaochu Jin:
A comprehensive survey of fitness approximation in evolutionary computation. Soft Comput. 9(1): 3-12 (2005) - [j11]Michael Hüsken, Yaochu Jin, Bernhard Sendhoff:
Structure optimization of neural networks for evolutionary design optimization. Soft Comput. 9(1): 21-28 (2005) - [j10]Yaochu Jin, Jürgen Branke:
Evolutionary optimization in uncertain environments-a survey. IEEE Trans. Evol. Comput. 9(3): 303-317 (2005) - [j9]Hanli Wang, Sam Kwong, Yaochu Jin, Wei Wei, Kim-Fung Man:
Agent-based evolutionary approach for interpretable rule-based knowledge extraction. IEEE Trans. Syst. Man Cybern. Part C 35(2): 143-155 (2005) - [c26]Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff:
A new approach to dynamics analysis of genetic algorithms without selection. Congress on Evolutionary Computation 2005: 374-381 - [c25]Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff:
Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies. Congress on Evolutionary Computation 2005: 382-389 - [c24]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K. Tsang, Tatsuya Okabe:
A model-based evolutionary algorithm for bi-objective optimization. Congress on Evolutionary Computation 2005: 2568-2575 - [c23]Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing:
Co-evolutionary modular neural networks for automatic problem decomposition. Congress on Evolutionary Computation 2005: 2691-2698 - [c22]Yaochu Jin, Bernhard Sendhoff, Edgar Körner:
Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations. EMO 2005: 752-766 - [c21]Lars Gräning, Yaochu Jin, Bernhard Sendhoff:
Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study. ESANN 2005: 273-278 - [c20]Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
On Evolutionary Optimization of Large Problems Using Small Populations. ICNC (2) 2005: 1145-1154 - [e4]Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, David W. Corne, Rolf Drechsler, Yaochu Jin, Penousal Machado, Elena Marchiori, Juan Romero, George D. Smith, Giovanni Squillero:
Applications of Evolutionary Computing, EvoWorkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Lausanne, Switzerland, March 30 - April 1, 2005, Proceedings. Lecture Notes in Computer Science 3449, Springer 2005, ISBN 3-540-25396-3 [contents] - [e3]Lipo Wang, Yaochu Jin:
Fuzzy Systems and Knowledge Discovery, Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3613, Springer 2005, ISBN 3-540-28312-9 [contents] - [e2]Lipo Wang, Yaochu Jin:
Fuzzy Systems and Knowledge Discovery, Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3614, Springer 2005, ISBN 3-540-28331-5 [contents] - 2004
- [c19]Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff:
Neural network regularization and ensembling using multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2004: 1-8 - [c18]Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff, Markus Olhofer:
Voronoi-based estimation of distribution algorithm for multi-objective optimization. IEEE Congress on Evolutionary Computation 2004: 1594-1601 - [c17]Yaochu Jin, Bernhard Sendhoff:
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept. EvoWorkshops 2004: 525-536 - [c16]Yaochu Jin, Bernhard Sendhoff:
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. GECCO (1) 2004: 688-699 - [c15]Tatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
On Test Functions for Evolutionary Multi-objective Optimization. PPSN 2004: 792-802 - [e1]Günther R. Raidl, Stefano Cagnoni, Jürgen Branke, David Corne, Rolf Drechsler, Yaochu Jin, Colin G. Johnson, Penousal Machado, Elena Marchiori, Franz Rothlauf, George D. Smith, Giovanni Squillero:
Applications of Evolutionary Computing, EvoWorkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Coimbra, Portugal, April 5-7, 2004, Proceedings. Lecture Notes in Computer Science 3005, Springer 2004, ISBN 3-540-21378-3 [contents] - 2003
- [b2]Yaochu Jin:
Advanced fuzzy systems design and applications. Studies in Fuzziness and Soft Computing 112, Physica-Verlag 2003, ISBN 3-7908-1537-3, pp. I-X, 1-271 [contents] - [j8]Yaochu Jin, Bernhard Sendhoff:
Extracting Interpretable Fuzzy Rules from RBF Networks. Neural Process. Lett. 17(2): 149-164 (2003) - [c14]Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin, Bernhard Sendhoff:
Comparative studies on micro heat exchanger optimisation. IEEE Congress on Evolutionary Computation 2003: 647-654 - [c13]Lars Willmes, Thomas Bäck, Yaochu Jin, Bernhard Sendhoff:
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization. IEEE Congress on Evolutionary Computation 2003: 663-670 - [c12]Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff:
A critical survey of performance indices for multi-objective optimisation. IEEE Congress on Evolutionary Computation 2003: 878-885 - [c11]Yaochu Jin, Bernhard Sendhoff:
Connectedness, regularity and the success of local search in evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation 2003: 1910-1917 - [c10]Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff:
Evolutionary multi-objective optimisation with a hybrid representation. IEEE Congress on Evolutionary Computation 2003: 2262-2269 - [c9]Yaochu Jin, Bernhard Sendhoff:
Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach. EMO 2003: 237-251 - [c8]Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff:
Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis. GECCO 2003: 636-637 - 2002
- [b1]Yaochu Jin:
Knowledge in evolutionary and learning systems. Ruhr University Bochum, Germany, Shaker 2002, ISBN 978-3-8265-9749-7, pp. 1-174 - [j7]Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
A framework for evolutionary optimization with approximate fitness functions. IEEE Trans. Evol. Comput. 6(5): 481-494 (2002) - [c7]Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff:
On The Dynamics Of Evolutionary Multi-objective Optimization. GECCO 2002: 247-256 - [c6]Yaochu Jin, Bernhard Sendhoff:
Incorporation Of Fuzzy Preferences Into Evolutionary Multiobjective Optimization. GECCO 2002: 683 - [c5]Yaochu Jin, Bernhard Sendhoff:
Fitness Approximation In Evolutionary Computation - a Survey. GECCO 2002: 1105-1112 - 2001
- [c4]Markus Olhofer, Yaochu Jin, Bernhard Sendhoff:
Adaptive encoding for aerodynamic shape optimization using evolution strategies. CEC 2001: 576-583 - [c3]Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
Managing approximate models in evolutionary aerodynamic design optimization. CEC 2001: 592-599 - [c2]Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff:
Adapting Weighted Aggregation for Multiobjective Evolution Strategies. EMO 2001: 96-110 - 2000
- [j6]Yaochu Jin:
Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement. IEEE Trans. Fuzzy Syst. 8(2): 212-221 (2000) - [c1]Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
On Evolutionary Optimization with Approximate Fitness Functions. GECCO 2000: 786-793
1990 – 1999
- 1999
- [j5]Yaochu Jin, Werner von Seelen:
Evaluating flexible fuzzy controllers via evolution strategies. Fuzzy Sets Syst. 108(3): 243-252 (1999) - [j4]Yaochu Jin, Bernhard Sendhoff:
Knowledge Incorporation into Neural Networks From Fuzzy Rules. Neural Process. Lett. 10(3): 231-242 (1999) - [j3]Yaochu Jin, Werner von Seelen, Bernhard Sendhoff:
On generating FC3 fuzzy rule systems from data using evolution strategies. IEEE Trans. Syst. Man Cybern. Part B 29(6): 829-845 (1999) - 1998
- [j2]Yaochu Jin:
Decentralized adaptive fuzzy control of robot manipulators. IEEE Trans. Syst. Man Cybern. Part B 28(1): 47-57 (1998) - 1995
- [j1]Yaochu Jin, Jingping Jiang, Jing Zhu:
Neural network based fuzzy identification and its application to modeling and control of complex systems. IEEE Trans. Syst. Man Cybern. 25(6): 990-997 (1995)
Coauthor Index
[j348] [j347] [j332] [j321] [j319] [j310] [j294] [j293] [i57] [i54] [j274] [j271] [j264] [j259] [j257] [j243] [j237] [i38] [i36] [j214] [j211] [j208] [j207] [j206] [j201] [j183] [c161] [i18] [i17] [i16] [j167] [j157] [j146] [j142] [c151] [i9] [j138] [j129] [j126] [j122] [j120] [c139] [j110] [j96] [j95] [j94] [c131] [i3] [j81] [c125] [c120] [c111] [j77] [j69] [j67] [j65] [j64] [c110] [c107] [c98] [c92] [c82]
Jonathan M. Garibaldi
aka: Jon Garibaldi
aka: Jon Garibaldi
[j293] [j96] [j81] [j65] [j57] [j53] [j51] [j49] [j48] [c79] [c72] [c70] [j30] [c68] [c62] [c58] [j26] [j25] [j24] [j22] [c57] [c56] [c55] [c54] [c52] [p7] [j19] [c50] [c49] [c48] [c47] [c45] [c43] [c42] [c41] [c40] [p6] [p5] [j18] [c39] [c38] [c37] [c35] [c34] [c32] [p4] [j16] [c31] [c30] [c29] [c28] [c27] [p2] [j11] [c26] [c25] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [j8] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [j7] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [j4] [j3]
Chao-Li Sun
aka: Chaoli Sun
aka: Chaoli Sun
[j350] [j314] [j306] [j299] [j286] [j285] [j279] [i49] [j274] [j272] [j264] [j256] [j254] [j253] [j245] [j244] [j242] [j215] [j213] [j210] [j208] [i24] [j187] [j183] [j181] [j179] [c161] [j167] [j148] [j146] [j142] [c150] [c140] [j122] [j120] [c139] [j118] [j110] [i3] [j85] [c125] [c111] [j67] [j66]
Jinbao Wang
aka: Jin-Bao Wang
aka: Jin-Bao Wang
[j350] [j319] [j314] [j306] [j299] [j293] [j286] [j285] [j279] [i49] [j274] [j272] [j264] [j256] [j254] [j253] [j245] [j244] [j242] [j215] [j213] [j210] [j208] [i24] [j187] [j184] [j183] [j181] [j179] [c161] [j167] [j148] [j146] [j142] [c150] [c140] [j129] [j122] [j120] [c139] [j118] [j112] [j110] [i3] [j85] [c125] [c111] [j67] [j66]
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