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2020 – today
- 2025
[j76]Mingjia Li, Hong Qian, Jinglan Lv, Mengliang He, Wei Zhang, Aimin Zhou:
Foundation model enhanced derivative-free cognitive diagnosis. Frontiers Comput. Sci. 19(1): 191318 (2025)- 2024
- [j75]Lingwan Huang, Aimin Zhou, Ziyi Zhang, Yueyue Shan, Zenghui Wang
, Shijian Cang:
A novel SCDM algorithm with offset centroid-driven weight adaptation and its application to appearance design of automotive steering wheels. Adv. Eng. Informatics 61: 102488 (2024) - [j74]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Enhancing SAEAs with unevaluated solutions: a case study of relation model for expensive optimization. Sci. China Inf. Sci. 67(2) (2024) - [j73]Yan Zhang, Xiao He, Shuanhu Gao, Aimin Zhou, Hao Hao:
Evolutionary Retrosynthetic Route Planning [Research Frontier]. IEEE Comput. Intell. Mag. 19(3): 58-72 (2024) - [j72]Chengyi Yang, Kun Jia, Deli Kong, Jiayin Qi, Aimin Zhou:
DP-GSGLD: A Bayesian optimizer inspired by differential privacy defending against privacy leakage in federated learning. Comput. Secur. 142: 103839 (2024) - [j71]Feng Gao, Yan Yang, Peng Gao, Ming Gu, Shangqing Zhao, Yuefeng Chen, Hao Yuan, Man Lan, Aimin Zhou, Liang He:
Self-supervised BGP-graph reasoning enhanced complex KBQA via SPARQL generation. Inf. Process. Manag. 61(5): 103802 (2024) - [j70]Bingdong Li, Yongfan Lu, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou:
Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization. Swarm Evol. Comput. 86: 101506 (2024) - [j69]Bingdong Li, Yanting Yang, Dacheng Liu, Yan Zhang, Aimin Zhou, Xin Yao:
Accelerating surrogate assisted evolutionary algorithms for expensive multi-objective optimization via explainable machine learning. Swarm Evol. Comput. 88: 101610 (2024) - [j68]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Large language models as surrogate models in evolutionary algorithms: A preliminary study. Swarm Evol. Comput. 91: 101741 (2024) - [j67]Shuai Wang, Aimin Zhou:
Regularity Evolution for Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(5): 1470-1483 (2024) - [j66]Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang:
SR-Forest: A Genetic Programming-Based Heterogeneous Ensemble Learning Method. IEEE Trans. Evol. Comput. 28(5): 1484-1498 (2024) - [c96]Yongfan Lu, Bingdong Li, Aimin Zhou:
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization. AAAI 2024: 14202-14210 - [c95]Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou:
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems. AAAI 2024: 14928-14936 - [c94]Chengyi Yang, Jiayin Qi, Aimin Zhou:
Wasserstein Differential Privacy. AAAI 2024: 16299-16307 - [c93]Xinhao Chen, Chong Yang, Changzhi Sun, Man Lan, Aimin Zhou:
From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation. AAAI 2024: 17790-17798 - [c92]Yang Chen, Chong Yang, Tu Hu, Xinhao Chen, Man Lan, Li Cai, Xinlin Zhuang, Xuan Lin, Xin Lu, Aimin Zhou:
Are U a Joke Master? Pun Generation via Multi-Stage Curriculum Learning towards a Humor LLM. ACL (Findings) 2024: 878-890 - [c91]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis. CEC 2024: 1-9 - [c90]Yupeng Wu, Weiye Wang, Yangwenhui Zhang, Mingjia Li, Yuanhao Liu, Hong Qian, Aimin Zhou:
High-Dimensional Causal Bayesian Optimization. ECAI 2024: 2990-2997 - [c89]Yufang Liu, Tao Ji, Changzhi Sun, Yuanbin Wu, Aimin Zhou:
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models. EMNLP 2024: 18288-18301 - [c88]Siyuan Shen, Yu Gao, Feng Liu, Hanyang Wang, Aimin Zhou:
Emotion Neural Transducer for Fine-Grained Speech Emotion Recognition. ICASSP 2024: 10111-10115 - [c87]Jiajun Cui, Minghe Yu, Bo Jiang, Aimin Zhou, Jianyong Wang, Wei Zhang:
Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning. ICDE 2024: 1103-1116 - [c86]Yuxiang Song, Yuxuan Zheng, Shangqing Zhao, Shu Liu, Xinlin Zhuang, Zhaoguang Long, Changzhi Sun, Aimin Zhou, Man Lan:
A Lightweight and Effective Multi-View Knowledge Distillation Framework for Text-Image Retrieval. IJCNN 2024: 1-8 - [c85]Hong Qian, Shuo Liu, Mingjia Li, Bingdong Li, Zhi Liu, Aimin Zhou:
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems. KDD 2024: 2455-2466 - [c84]Junhao Shen, Hong Qian, Shuo Liu, Wei Zhang, Bo Jiang, Aimin Zhou:
Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems. KDD 2024: 2628-2639 - [c83]Yupeng Wu, Zhibo Zhu, Chaoyi Ma, Hong Qian, Xingyu Lu, Yangwenhui Zhang, Xiaobo Qin, Binjie Fei, Jun Zhou, Aimin Zhou:
Cost-Efficient Fraud Risk Optimization with Submodularity in Insurance Claim. KDD 2024: 3448-3459 - [c82]Yongfeng Gu, Yupeng Wu, Huakang Lu, Xingyu Lu, Hong Qian, Jun Zhou, Aimin Zhou:
LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment. KDD 2024: 5006-5017 - [c81]Chengyi Yang, Mingda Dong, Xiaoyue Zhang, Jiayin Qi, Aimin Zhou:
Introducing Common Null Space of Gradients for Gradient Projection Methods in Continual Learning. ACM Multimedia 2024: 5489-5497 - [c80]Chengyi Yang, Wentao Liu, Shisong Chen, Jiayin Qi, Aimin Zhou:
Generating Prompts in Latent Space for Rehearsal-free Continual Learning. ACM Multimedia 2024: 8913-8922 - [c79]Zheqin Yin, Yupei Ren, Man Lan, Yuanbin Wu, Aimin Zhou, Xiaopeng Bai:
Overview of the NLPCC 2024 Shared Task 5: Argument Mining for Chinese Argumentative Essay. NLPCC (5) 2024: 213-222 - [c78]Shuo Liu, Junhao Shen, Hong Qian, Aimin Zhou:
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems. WWW 2024: 4260-4271 - [i36]Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou:
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems. CoRR abs/2401.10840 (2024) - [i35]Chengyi Yang, Jiayin Qi, Aimin Zhou:
Wasserstein Differential Privacy. CoRR abs/2401.12436 (2024) - [i34]Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Aimin Zhou, Liang He:
Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking. CoRR abs/2403.09717 (2024) - [i33]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis. CoRR abs/2403.14413 (2024) - [i32]Siyuan Shen, Yu Gao, Feng Liu, Hanyang Wang, Aimin Zhou:
Emotion Neural Transducer for Fine-Grained Speech Emotion Recognition. CoRR abs/2403.19224 (2024) - [i31]Shuo Liu, Junhao Shen, Hong Qian, Aimin Zhou:
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems. CoRR abs/2404.11290 (2024) - [i30]Yongfan Lu, Zixiang Di, Bingdong Li, Shengcai Liu, Hong Qian, Peng Yang, Ke Tang, Aimin Zhou:
Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. CoRR abs/2405.08604 (2024) - [i29]Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou:
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. CoRR abs/2405.08674 (2024) - [i28]Hao Chen, Biaojie Zeng, Xin Lin, Liang He, Aimin Zhou:
DOP: Diagnostic-Oriented Prompting for Large Language Models in Mathematical Correction. CoRR abs/2405.12100 (2024) - [i27]Hao Hao, Xiaoqun Zhang, Bingdong Li, Aimin Zhou:
A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms. CoRR abs/2405.16494 (2024) - [i26]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Large Language Models as Surrogate Models in Evolutionary Algorithms: A Preliminary Study. CoRR abs/2406.10675 (2024) - [i25]Bingdong Li, Zixiang Di, Yanting Yang, Hong Qian, Peng Yang, Hao Hao, Ke Tang, Aimin Zhou:
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization. CoRR abs/2407.00487 (2024) - [i24]Hong Qian, Shuo Liu, Mingjia Li, Bingdong Li, Zhi Liu, Aimin Zhou:
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems. CoRR abs/2407.17476 (2024) - [i23]Xinhao Chen, Chong Yang, Man Lan, Li Cai, Yang Chen, Tu Hu, Xinlin Zhuang, Aimin Zhou:
Cause-Aware Empathetic Response Generation via Chain-of-Thought Fine-Tuning. CoRR abs/2408.11599 (2024) - [i22]Wentao Liu, Qianjun Pan, Yi Zhang, Zhuo Liu, Ji Wu, Jie Zhou, Aimin Zhou, Qin Chen, Bo Jiang, Liang He:
CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models. CoRR abs/2409.02834 (2024) - [i21]Yufang Liu, Tao Ji, Changzhi Sun, Yuanbin Wu, Aimin Zhou:
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models. CoRR abs/2410.03176 (2024) - [i20]Caigao Jiang, Xiang Shu, Hong Qian, Xingyu Lu, Jun Zhou, Aimin Zhou, Yang Yu:
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch. CoRR abs/2410.13213 (2024) - 2023
- [j65]Jinyan Ouyang, Lingwan Huang, Rui Zhang, Jian Ma, Jianning Su, Shutao Zhang, Aimin Zhou:
Optimization Design of Product Form Driven by Image Cognitive Friction. IEEE Access 11: 124278-124294 (2023) - [j64]Ming Yang, Jie Gao, Aimin Zhou, Changhe Li, Xin Yao:
Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier]. IEEE Comput. Intell. Mag. 18(3): 56-68 (2023) - [j63]Shuai Wang, Aimin Zhou, Guixu Zhang, Faming Fang:
Learning Regularity for Evolutionary Multiobjective Search: A Generative Model-Based Approach. IEEE Comput. Intell. Mag. 18(4): 29-42 (2023) - [j62]Ting Wu, Hong Qian, Ziqi Liu, Jun Zhou, Aimin Zhou:
Bi-objective evolutionary Bayesian network structure learning via skeleton constraint. Frontiers Comput. Sci. 17(6): 176350 (2023) - [j61]Yan Zhang, Bingdong Li, Wenjing Hong, Aimin Zhou:
MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies. Neurocomputing 562: 126892 (2023) - [j60]Shuai Wang, Aimin Zhou, Bingdong Li, Peng Yang:
Differential evolution guided by approximated Pareto set for multiobjective optimization. Inf. Sci. 630: 669-687 (2023) - [j59]Shuai Wang, Bingdong Li, Aimin Zhou:
A regularity augmented evolutionary algorithm with dual-space search for multiobjective optimization. Swarm Evol. Comput. 78: 101261 (2023) - [j58]Yongfan Lu, Bingdong Li, Shengcai Liu, Aimin Zhou:
A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization. Swarm Evol. Comput. 83: 101377 (2023) - [j57]Feng Liu, Han-Yang Wang, Siyuan Shen, Xun Jia, Jingyi Hu, Jia-Hao Zhang, Xi-Yi Wang, Ying Lei, Aimin Zhou, Jia-Yin Qi, Zhi-Bin Li:
OPO-FCM: A Computational Affection Based OCC-PAD-OCEAN Federation Cognitive Modeling Approach. IEEE Trans. Comput. Soc. Syst. 10(4): 1813-1825 (2023) - [j56]Zihan Wang, Bochao Mao, Hao Hao, Wenjing Hong, Chunyun Xiao, Aimin Zhou:
Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(5): 1456-1469 (2023) - [j55]Jiajun Cui, Zeyuan Chen, Aimin Zhou, Jianyong Wang, Wei Zhang:
Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing. ACM Trans. Inf. Syst. 41(4): 104:1-104:26 (2023) - [c77]Yangwenhui Zhang, Hong Qian, Xiang Shu, Aimin Zhou:
High-Dimensional Dueling Optimization with Preference Embedding. AAAI 2023: 11280-11288 - [c76]Hanyang Wang, Bo Li, Shuang Wu, Siyuan Shen, Feng Liu, Shouhong Ding, Aimin Zhou:
Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition. CVPR 2023: 17958-17968 - [c75]Shuo Liu, Hong Qian, Mingjia Li, Aimin Zhou:
QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning. ECAI 2023: 1536-1543 - [c74]Huakang Lu, Hong Qian, Yupeng Wu, Ziqi Liu, Ya-Lin Zhang, Aimin Zhou, Yang Yu:
Degradation-Resistant Offline Optimization via Accumulative Risk Control. ECAI 2023: 1609-1616 - [c73]Hao Hao, Aimin Zhou:
A Relation Surrogate Model for Expensive Multiobjective Continuous and Combinatorial Optimization. EMO 2023: 205-217 - [c72]Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. GECCO Companion 2023: 49-50 - [c71]Yongfan Lu, Bingdong Li, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou:
RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization. GECCO 2023: 722-730 - [c70]Siyuan Shen, Feng Liu, Aimin Zhou:
Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-Trained Representations. ICASSP 2023: 1-5 - [c69]Hongyi Wu, Xinshu Shen, Man Lan, Xiaopeng Bai, Yuanbin Wu, Aimin Zhou, Shaoguang Mao, Tao Ge, Yan Xia:
Overview of the NLPCC 2023 Shared Task: Chinese Essay Discourse Coherence Evaluation. NLPCC (3) 2023: 292-301 - [i19]Siyuan Shen, Feng Liu, Aimin Zhou:
Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations. CoRR abs/2302.13277 (2023) - [i18]Yu-Peng Wu, Hong Qian, Rong-Jun Qin, Yi Chen, Aimin Zhou:
Scaling Multi-Objective Security Games Provably via Space Discretization Based Evolutionary Search. CoRR abs/2303.15821 (2023) - [i17]Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, Aimin Zhou, Ze Zhou, Qin Chen, Jie Zhou, Liang He, Xipeng Qiu:
EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education. CoRR abs/2308.02773 (2023) - [i16]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Enhancing SAEAs with Unevaluated Solutions: A Case Study of Relation Model for Expensive Optimization. CoRR abs/2309.11994 (2023) - [i15]Yan Zhang, Hao Hao, Xiao He, Shuanhu Gao, Aimin Zhou:
Evolutionary Retrosynthetic Route Planning. CoRR abs/2310.05186 (2023) - [i14]Yufang Liu, Changzhi Sun, Yuanbin Wu, Aimin Zhou:
Unlearning with Fisher Masking. CoRR abs/2310.05331 (2023) - [i13]Wentao Liu, Hanglei Hu, Jie Zhou, Yuyang Ding, Junsong Li, Jiayi Zeng, Mengliang He, Qin Chen, Bo Jiang, Aimin Zhou, Liang He:
Mathematical Language Models: A Survey. CoRR abs/2312.07622 (2023) - [i12]Jiajun Cui, Minghe Yu, Bo Jiang, Aimin Zhou, Jianyong Wang, Wei Zhang:
Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning. CoRR abs/2312.10045 (2023) - 2022
- [j54]Wanpeng Zhang, Shuai Wang, Aimin Zhou, Hu Zhang:
A practical regularity model based evolutionary algorithm for multiobjective optimization. Appl. Soft Comput. 129: 109614 (2022) - [j53]Feng Liu, Siyuan Shen, Ziwang Fu, Han-Yang Wang, Aimin Zhou, Jia-Yin Qi:
LGCCT: A Light Gated and Crossed Complementation Transformer for Multimodal Speech Emotion Recognition. Entropy 24(7): 1010 (2022) - [j52]Ming Yang, Aimin Zhou, Xiaofen Lu, Zhihua Cai, Changhe Li, Jing Guan:
CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization. Expert Syst. Appl. 203: 117397 (2022) - [j51]Feng Liu, Hanyang Wang, Jiahao Zhang, Ziwang Fu, Aimin Zhou, Jiayin Qi, Zhibin Li:
EvoGAN: An evolutionary computation assisted GAN. Neurocomputing 469: 81-90 (2022) - [j50]Ying Qian, Xuelian Li, Jian Wu, Aimin Zhou, Zhijian Xu, Qian Zhang:
Picture-word order compound protein interaction: Predicting compound-protein interaction using structural images of compounds. J. Comput. Chem. 43(4): 255-264 (2022) - [j49]Ying Qian, Xuelian Li, Jian Wu, Aimin Zhou, Zhijian Xu, Qian Zhang:
Cover Image. J. Comput. Chem. 43(4): i (2022) - [j48]Qing Xu, Feng Liu, Ziwang Fu, Aimin Zhou, Jiayin Qi:
AeS-GCN: Attention-enhanced semantic-guided graph convolutional networks for skeleton-based action recognition. Comput. Animat. Virtual Worlds 33(3-4) (2022) - [j47]Feng Liu, Deli Kong, Jinhua Kong, Shiying Lu, Zilong Xiao, Qing Xu, Aimin Zhou, Jiayin Qi:
Pandemic Bonds Issued by the Chinese Government Supported Post-Disaster Recovery from COVID-19 Pandemic. J. Soc. Comput. 3(2): 158-170 (2022) - [j46]Hengzhe Zhang, Aimin Zhou, Hong Qian, Hu Zhang:
PS-Tree: A piecewise symbolic regression tree. Swarm Evol. Comput. 71: 101061 (2022) - [j45]Hengzhe Zhang, Aimin Zhou, Hu Zhang:
An Evolutionary Forest for Regression. IEEE Trans. Evol. Comput. 26(4): 735-749 (2022) - [j44]Hao Hao, Aimin Zhou, Hong Qian, Hu Zhang:
Expensive Multiobjective Optimization by Relation Learning and Prediction. IEEE Trans. Evol. Comput. 26(5): 1157-1170 (2022) - [c68]Hao Hao, Shuai Wang, Bingdong Li, Aimin Zhou:
A Surrogate Model Assisted Estimation of Distribution Algorithm with Mutil-acquisition Functions for Expensive Optimization. CEC 2022: 1-8 - [c67]Feng Liu, Yihao Zhou, Xun Jia, Hanyang Wang, Siyuan Shen, Aimin Zhou:
High-arousal positive emotion evoking is more effective in VR than on a 2D monitor based on computational affection. CogSci 2022 - [c66]Ziwang Fu, Feng Liu, Qing Xu, Jiayin Qi, Xiangling Fu, Aimin Zhou, Zhibin Li:
NHFNET: A Non-Homogeneous Fusion Network for Multimodal Sentiment Analysis. ICME 2022: 1-6 - [c65]Hong Qian, Xu-Hui Liu, Chen-Xi Su, Aimin Zhou, Yang Yu:
The Teaching Dimension of Regularized Kernel Learners. ICML 2022: 17984-18002 - [c64]Zihan Wang, Chunyun Xiao, Aimin Zhou:
An Exact Inverted Generational Distance for Continuous Pareto Front. PPSN (2) 2022: 96-109 - 2021
- [j43]Aimin Zhou, Hongbin Liu, Shutao Zhang, Jinyan Ouyang:
Evaluation and Design Method for Product Form Aesthetics Based on Deep Learning. IEEE Access 9: 108992-109003 (2021) - [j42]Shutao Zhang, Shijie Wang, Aimin Zhou, Shifeng Liu, Jianning Su:
Cognitive Matching of Design Subjects in Product Form Evolutionary Design. Comput. Intell. Neurosci. 2021: 8456736:1-8456736:23 (2021) - [j41]Qinyan Dai, Faming Fang, Juncheng Li, Guixu Zhang, Aimin Zhou:
Edge-guided Composition Network for Image Stitching. Pattern Recognit. 118: 108019 (2021) - [j40]Cong Liu, Tingting Bian, Aimin Zhou:
Multiobjective multiple features fusion: A case study in image segmentation. Swarm Evol. Comput. 60: 100792 (2021) - [j39]Feng Wang, Heng Zhang, Aimin Zhou:
A particle swarm optimization algorithm for mixed-variable optimization problems. Swarm Evol. Comput. 60: 100808 (2021) - [j38]Yi Chen, Aimin Zhou, Swagatam Das:
Utilizing dependence among variables in evolutionary algorithms for mixed-integer programming: A case study on multi-objective constrained portfolio optimization. Swarm Evol. Comput. 66: 100928 (2021) - [j37]Ming Yang, Aimin Zhou, Changhe Li, Xin Yao:
An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems. IEEE Trans. Evol. Comput. 25(1): 159-171 (2021) - [c63]Ting Wu, Hong Qian, Aimin Zhou, Zhenzi Li:
Bi-Objective Search Method for Bayesian Network Structure Learning. CCIS 2021: 433-437 - [c62]Hao Hao, Aimin Zhou, Hu Zhang:
An Approximated Domination Relationship based on Binary Classifiers for Evolutionary Multiobjective Optimization. CEC 2021: 2427-2434 - [c61]Yi Chen, Hemant Kumar Singh, Aimin Zhou, Tapabrata Ray:
A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization. EMO 2021: 283-295 - [c60]Hengzhe Zhang, Aimin Zhou:
RL-GEP: Symbolic Regression via Gene Expression Programming and Reinforcement Learning. IJCNN 2021: 1-8 - [c59]Ziwang Fu, Feng Liu, Jiahao Zhang, Hanyang Wang, Chengyi Yang, Qing Xu, Jiayin Qi, Xiangling Fu, Aimin Zhou:
SAGN: Semantic Adaptive Graph Network for Skeleton-Based Human Action Recognition. ICMR 2021: 110-117 - [c58]Jiahao Zhang, Feng Liu, Aimin Zhou:
Off-TANet: A Lightweight Neural Micro-expression Recognizer with Optical Flow Features and Integrated Attention Mechanism. PRICAI (1) 2021: 266-279 - [e1]Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou:
Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings. Lecture Notes in Computer Science 12654, Springer 2021, ISBN 978-3-030-72061-2 [contents] - [i11]Yi Chen, Aimin Zhou:
Variable Division and Optimization for Constrained Multiobjective Portfolio Problems. CoRR abs/2101.08552 (2021) - [i10]Renjue Li, Hanwei Zhang, Pengfei Yang, Cheng-Chao Huang, Aimin Zhou, Bai Xue, Lijun Zhang:
Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness. CoRR abs/2106.02867 (2021) - [i9]Feng Liu, Hanyang Wang, Jiahao Zhang, Ziwang Fu, Aimin Zhou, Jiayin Qi, Zhibin Li:
EvoGAN: An Evolutionary Computation Assisted GAN. CoRR abs/2110.11583 (2021) - [i8]Ziwang Fu, Feng Liu, Hanyang Wang, Jiayin Qi, Xiangling Fu, Aimin Zhou, Zhibin Li:
A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognition. CoRR abs/2111.02172 (2021) - [i7]Ziwang Fu, Feng Liu, Hanyang Wang, Siyuan Shen, Jiahao Zhang, Jiayin Qi, Xiangling Fu, Aimin Zhou:
LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences. CoRR abs/2112.01697 (2021) - 2020
- [j36]Tonglin Liu, Hengzhe Zhang, Hu Zhang, Aimin Zhou:
Information Fusion in Offspring Generation: A Case Study in Gene Expression Programming. IEEE Access 8: 74782-74792 (2020) - [j35]Aimin Zhou, Jinyan Ouyang, Jianning Su, Shutao Zhang, Shutian Yan:
Multimodal optimisation design of product forms based on aesthetic evaluation. Int. J. Arts Technol. 12(2): 128-154 (2020) - [j34]Aimin Zhou, Yirui Wang, Jinyuan Zhang:
Objective extraction via fuzzy clustering in evolutionary many-objective optimization. Inf. Sci. 509: 343-355 (2020) - [j33]Ming Yang, Aimin Zhou, Changhe Li, Jing Guan, Xuesong Yan:
CCFR2: A more efficient cooperative co-evolutionary framework for large-scale global optimization. Inf. Sci. 512: 64-79 (2020) - [j32]Shuai Wang, Hu Zhang, Yi Zhang, Aimin Zhou:
Adaptive population structure learning in evolutionary multi-objective optimization. Soft Comput. 24(13): 10025-10042 (2020) - [j31]Feng Wang, Yixuan Li, Aimin Zhou, Ke Tang:
An Estimation of Distribution Algorithm for Mixed-Variable Newsvendor Problems. IEEE Trans. Evol. Comput. 24(3): 479-493 (2020) - [j30]Hao Hao, Jinyuan Zhang, Xiaofen Lu, Aimin Zhou:
Binary Relation Learning and Classifying for Preselection in Evolutionary Algorithms. IEEE Trans. Evol. Comput. 24(6): 1125-1139 (2020) - [c57]Wenyue Hu, Aimin Zhou, Guixu Zhang:
A Classification Surrogate Model based Evolutionary Algorithm for Neural Network Structure Learning. IJCNN 2020: 1-7 - [c56]Hu Zhang, Hengzhe Zhang, Aimin Zhou:
A Multi-metric Selection Strategy for Evolutionary Symbolic Regression. SMC 2020: 585-591 - [i6]Xinyi Zeng, Qian Zhang, Jia Chen, Guixu Zhang, Aimin Zhou, Yiqin Wang:
Boundary Guidance Hierarchical Network for Real-Time Tongue Segmentation. CoRR abs/2003.06529 (2020) - [i5]Yixuan Sun, Chengyao Li, Qian Zhang, Aimin Zhou, Guixu Zhang:
Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray. CoRR abs/2012.15442 (2020)
2010 – 2019
- 2019
- [j29]Xiaoji Chen, Chuan Shi, Aimin Zhou, Bin Wu, Pengcheng Sheng:
On Balancing Neighborhood and Global Replacement Strategies in MOEA/D. IEEE Access 7: 45274-45290 (2019) - [j28]Shuai Wang, Hu Zhang, Yi Zhang, Aimin Zhou, Peng Wu:
A Spectral Clustering-Based Multi-Source Mating Selection Strategy in Evolutionary Multi-Objective Optimization. IEEE Access 7: 131851-131864 (2019) - [j27]Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang, Ke Zhang:
A new learning-based adaptive multi-objective evolutionary algorithm. Swarm Evol. Comput. 44: 304-319 (2019) - [j26]Maoguo Gong, Aimin Zhou, A. Kai Qin, Linqiang Pan:
Guest editorial special issue on collaborative learning and optimization based on swarm and evolutionary computation. Swarm Evol. Comput. 47: 1-2 (2019) - [j25]Wenjing Hong, Ke Tang, Aimin Zhou, Hisao Ishibuchi, Xin Yao:
A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(3): 525-537 (2019) - [j24]Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang, Ke Zhang, Zhenbiao Tu, Kai Ye:
Learning From a Stream of Nonstationary and Dependent Data in Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 23(4): 541-555 (2019) - [c55]Aimin Zhou, Jinyuan Zhang, Jianyong Sun, Guixu Zhang:
Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization. AAAI 2019: 2403-2410 - [c54]Yingxia Chen, Cong Liu, Aimin Zhou, Guixu Zhang:
MIHS: A Multiobjective Pan-sharpening Method for Remote Sensing Images. CEC 2019: 1068-1073 - [c53]Yi Chen, Aimin Zhou:
MOEA/D with An Improved Multi-Dimensional Mapping Coding Scheme for Constrained Multi-Objective Portfolio Optimization. CEC 2019: 1742-1749 - [c52]Aimin Zhou, Haoying Zhao, Hu Zhang, Guixu Zhang:
Pareto Optimal Set Approximation by Models: A Linear Case. EMO 2019: 451-462 - [c51]Dedong Li, Aimin Zhou, Chuan Shi:
NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation. PAKDD (3) 2019: 15-26 - [i4]Yi Chen, Aimin Zhou, Swagatam Das:
A Compressed Coding Scheme for Evolutionary Algorithms in Mixed-Integer Programming: A Case Study on Multi-Objective Constrained Portfolio Optimization. CoRR abs/1909.08748 (2019) - 2018
- [j23]Jinyuan Zhang, Aimin Zhou, Guixu Zhang:
Preselection via classification: a case study on global optimisation. Int. J. Bio Inspired Comput. 11(4): 267-281 (2018) - [j22]Jinyuan Zhang, Aimin Zhou, Ke Tang, Guixu Zhang:
Preselection via classification: A case study on evolutionary multiobjective optimization. Inf. Sci. 465: 388-403 (2018) - [j21]Hui Fang, Aimin Zhou, Hu Zhang:
Information fusion in offspring generation: A case study in DE and EDA. Swarm Evol. Comput. 42: 99-108 (2018) - [j20]Jianyong Sun, Aimin Zhou, Simeon Keates, Shengbin Liao:
Simultaneous Bayesian Clustering and Feature Selection Through Student's t Mixtures Model. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1187-1199 (2018) - [c50]Xiaoji Chen, Chuan Shi, Aimin Zhou, Siyong Xu, Bin Wu:
A Hybrid Replacement Strategy for MOEA/D. BIC-TA (1) 2018: 246-262 - [c49]Yi Chen, Aimin Zhou, Liang Dou:
An evolutionary algorithm with a new operator and an adaptive strategy for large-scale portfolio problems. GECCO (Companion) 2018: 247-248 - [c48]Jinyuan Zhang, Aimin Zhou, Guixu Zhang:
Preselection via one-class classification for evolutionary optimization. GECCO (Companion) 2018: 259 - [c47]Yanfeng Liu, Aimin Zhou, Hu Zhang:
Termination detection strategies in evolutionary algorithms: a survey. GECCO 2018: 1063-1070 - [c46]Hao Hao, Jinyuan Zhang, Aimin Zhou:
A Comparison Study of Surrogate Model Based Preselection in Evolutionary Optimization. ICIC (2) 2018: 717-728 - [c45]Hanwei Zhang, Aimin Zhou:
Tree-Structured Decomposition and Adaptation in MOEA/D. PPSN (1) 2018: 359-371 - [i3]Jinwei Lin, Aimin Zhou:
PyDraw: a GUI drawing generator based on Tkinter and its design concept. CoRR abs/1808.09094 (2018) - 2017
- [c44]Xiaoji Chen, Chuan Shi, Aimin Zhou, Bin Wu, Zixing Cai:
A decomposition based multiobjective evolutionary algorithm with semi-supervised classification. CEC 2017: 797-804 - [c43]Hanwei Zhang, Aimin Zhou, Guixu Zhang, Hemant Kumar Singh:
Accelerating MOEA/D by Nelder-Mead method. CEC 2017: 976-983 - [c42]Yi Chen, Aimin Zhou, Rongfang Zhou, Peng He, Yong Zhao, Lihua Dong:
An Evolutionary Algorithm with a New Coding Scheme for Multi-objective Portfolio Optimization. SEAL 2017: 97-109 - [i2]Jinyuan Zhang, Aimin Zhou, Ke Tang, Guixu Zhang:
Preselection via Classification: A Case Study on Evolutionary Multiobjective Optimization. CoRR abs/1708.01146 (2017) - 2016
- [j19]Zhenkun Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao:
Adaptive Replacement Strategies for MOEA/D. IEEE Trans. Cybern. 46(2): 474-486 (2016) - [j18]Aimin Zhou, Qingfu Zhang:
Are All the Subproblems Equally Important? Resource Allocation in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 20(1): 52-64 (2016) - [j17]Luping Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao:
Constrained Subproblems in a Decomposition-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Evol. Comput. 20(3): 475-480 (2016) - [j16]Hu Zhang, Aimin Zhou, Shenmin Song, Qingfu Zhang, Xiao Zhi Gao, Jun Zhang:
A Self-Organizing Multiobjective Evolutionary Algorithm. IEEE Trans. Evol. Comput. 20(5): 792-806 (2016) - [c41]Hui Fang, Aimin Zhou, Guixu Zhang:
A Mean Shift Assisted Differential Evolution Algorithm. BIC-TA (2) 2016: 163-172 - [c40]Bing Dong, Aimin Zhou, Guixu Zhang:
Sampling in latent space for a mulitiobjective estimation of distribution algorithm. CEC 2016: 3027-3034 - [c39]Hui Fang, Aimin Zhou, Guixu Zhang:
An estimation of distribution algorithm guided by mean shift. CEC 2016: 3268-3275 - [c38]Chupeng Zeng, Aimin Zhou, Guixu Zhang:
Self-adaptive spectral cluster number detecting with particle swarm optimization algorithm. CEC 2016: 4607-4611 - [c37]Bing Dong, Aimin Zhou, Guixu Zhang:
A hybrid estimation of distribution algorithm with differential evolution for global optimization. SSCI 2016: 1-7 - [i1]Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang:
Learning from Non-Stationary Stream Data in Multiobjective Evolutionary Algorithm. CoRR abs/1606.05169 (2016) - 2015
- [j15]Cong Liu, Aimin Zhou, Chunxue Wu, Guixu Zhang:
Image segmentation framework based on multiple feature spaces. IET Image Process. 9(4): 271-279 (2015) - [j14]Chunzhi Li, Aimin Zhou, Guixu Zhang, Faming Fang:
An Antinoise Method for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 12(3): 636-640 (2015) - [j13]Hu Zhang, Shenmin Song, Aimin Zhou, Xiao Zhi Gao:
A multiobjective cellular genetic algorithm based on 3D structure and cosine crowding measurement. Int. J. Mach. Learn. Cybern. 6(3): 487-500 (2015) - [j12]Wenyin Gong, Aimin Zhou, Zhihua Cai:
A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization. IEEE Trans. Evol. Comput. 19(5): 746-758 (2015) - [j11]Aimin Zhou, Jianyong Sun, Qingfu Zhang:
An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods. IEEE Trans. Evol. Comput. 19(6): 807-822 (2015) - [c36]Jinyuan Zhang, Aimin Zhou, Guixu Zhang:
A Multiobjective Evolutionary Algorithm Based on Decomposition and Preselection. BIC-TA 2015: 631-642 - [c35]Aimin Zhou, Yuting Zhang, Guixu Zhang, Wenyin Gong:
On neighborhood exploration and subproblem exploitation in decomposition based multiobjective evolutionary algorithms. CEC 2015: 1704-1711 - [c34]Jinyuan Zhang, Aimin Zhou, Guixu Zhang:
A classification and Pareto domination based multiobjective evolutionary algorithm. CEC 2015: 2883-2890 - 2014
- [j10]Cong Liu, Aimin Zhou, Qian Zhang, Guixu Zhang:
Adaptive image segmentation by using mean-shift and evolutionary optimisation. IET Image Process. 8(6): 327-333 (2014) - [j9]Chunzhi Li, Faming Fang, Aimin Zhou, Guixu Zhang:
A Novel Blind Spectral Unmixing Method Based on Error Analysis of Linear Mixture Model. IEEE Geosci. Remote. Sens. Lett. 11(7): 1180-1184 (2014) - [j8]Aimin Zhou, Yaochu Jin, Qingfu Zhang:
A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 44(1): 40-53 (2014) - [c33]Yang Li, Aimin Zhou, Guixu Zhang:
An MOEA/D with multiple differential evolution mutation operators. IEEE Congress on Evolutionary Computation 2014: 397-404 - [c32]Hu Zhang, Shenmin Song, Aimin Zhou, Xiao Zhi Gao:
A clustering based multiobjective evolutionary algorithm. IEEE Congress on Evolutionary Computation 2014: 723-730 - [c31]Zhenkun Wang, Qingfu Zhang, Maoguo Gong, Aimin Zhou:
A replacement strategy for balancing convergence and diversity in MOEA/D. IEEE Congress on Evolutionary Computation 2014: 2132-2139 - [c30]Qiuxiao Liao, Aimin Zhou, Guixu Zhang:
A locally weighted metamodel for pre-selection in evolutionary optimization. IEEE Congress on Evolutionary Computation 2014: 2483-2490 - [c29]Jianyong Sun, Aimin Zhou:
Unsupervised robust Bayesian feature selection. IJCNN 2014: 558-564 - 2013
- [j7]Aimin Zhou, Feng Gao, Guixu Zhang:
A decomposition based estimation of distribution algorithm for multiobjective traveling salesman problems. Comput. Math. Appl. 66(10): 1857-1868 (2013) - [j6]Cong Liu, Aimin Zhou, Guixu Zhang:
Automatic clustering method based on evolutionary optimisation. IET Comput. Vis. 7(4): 258-271 (2013) - [c28]Zhenzhen Dai, Aimin Zhou, Guixu Zhang, Sanyi Jiang:
A differential evolution with an orthogonal local search. IEEE Congress on Evolutionary Computation 2013: 2329-2336 - [c27]Aimin Zhou, Qingfu Zhang, Guixu Zhang:
Approximation Model Guided Selection for Evolutionary Multiobjective Optimization. EMO 2013: 398-412 - [c26]Qiannan Du, Aimin Zhou, Cong Liu, Guixu Zhang:
Hyperspectral band selection based on evolutionary optimization. ICNC 2013: 739-743 - [c25]Cong Liu, Aimin Zhou, Qiannan Du, Guixu Zhang:
Practical path-based methods for clustering arbitrary shaped data sets. ICNC 2013: 962-966 - [c24]Hu Zhang, Shenmin Song, Aimin Zhou:
MCGA: A Multiobjective Cellular Genetic Algorithm Based on a 3D Grid. IDEAL 2013: 455-462 - 2012
- [c23]Aimin Zhou, Qingfu Zhang, Guixu Zhang:
A multiobjective evolutionary algorithm based on decomposition and probability model. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c22]Yang Li, Aimin Zhou, Guixu Zhang:
A Decomposition based estimation of distribution algorithm for multiobjective knapsack problems. ICNC 2012: 803-807 - [c21]Feng Gao, Aimin Zhou, Guixu Zhang:
An estimation of distribution algorithm based on decomposition for the multiobjective TSP. ICNC 2012: 817-821 - [c20]Jing Zhang, Aimin Zhou, Guixu Zhang:
An Evolutionary Approach for Image Registration. ISICA 2012: 321-330 - [c19]Zhengyu Huang, Aimin Zhou, Guixu Zhang:
Non-negative Matrix Factorization: A Short Survey on Methods and Applications. ISICA 2012: 331-340 - [c18]Yun Wang, Brendan M. Kelly, Aimin Zhou:
Hop Distance Analysis in Partially Connected Wireless Sensor Networks. MASCOTS 2012: 161-168 - 2011
- [j5]Ming-Hua Wu, Rong Wu, Aimin Zhou:
Optimal risk control policies for diffusion models with non-cheap proportional reinsurance and bankruptcy value. J. Syst. Sci. Complex. 24(5): 892-906 (2011) - [j4]Aimin Zhou, Bo-Yang Qu, Hui Li, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Qingfu Zhang:
Multiobjective evolutionary algorithms: A survey of the state of the art. Swarm Evol. Comput. 1(1): 32-49 (2011) - [c17]Luhan Zhou, Aimin Zhou, Guixu Zhang, Chuan Shi:
An estimation of distribution algorithm based on nonparametric density estimation. IEEE Congress on Evolutionary Computation 2011: 1597-1604 - [c16]Sanyou Zeng, Shizhong Chen, Jiang Zhao, Aimin Zhou, Zhengjun Li, Hongyong Jing:
Dynamic constrained multi-objective model for solving constrained optimization problem. IEEE Congress on Evolutionary Computation 2011: 2041-2046 - [c15]Lina Jia, Sanyou Zeng, Dong Zhou, Aimin Zhou, Zhengjun Li, Hongyong Jing:
Dynamic multi-objective differential evolution for solving constrained optimization problem. IEEE Congress on Evolutionary Computation 2011: 2649-2654 - [c14]Yang Li, Aimin Zhou, Guixu Zhang:
Simulated annealing with probabilistic neighborhood for traveling salesman problems. ICNC 2011: 1565-1569 - 2010
- [c13]Andreas Konstantinidis, Christoforos Charalambous, Aimin Zhou, Qingfu Zhang:
Multi-objective mobile agent-based Sensor Network Routing using MOEA/D. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c12]Aimin Zhou, Qingfu Zhang:
A surrogate-assisted evolutionary algorithm for minimax optimization. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c11]Aimin Zhou, Guixu Zhang, Andreas Konstantinidis:
Parameter Evolution for a Particle Swarm Optimization Algorithm. ISICA (1) 2010: 33-43
2000 – 2009
- 2009
- [b1]Aimin Zhou:
Estimation of distribution algorithms for continuous multiobjective optimization. University of Essex, Colchester, UK, 2009 - [j3]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) - 2008
- [j2]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) - [j1]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) - [c10]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 - [p1]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 - 2007
- [c9]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff:
Adaptivemodelling strategy for continuous multi-objective optimization. IEEE Congress on Evolutionary Computation 2007: 431-437 - [c8]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 - [c7]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 - [c6]Changhe Li, Yong Liu, Aimin Zhou, Lishan Kang, Hui Wang:
A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy. ISICA 2007: 334-343 - 2006
- [c5]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 - [c4]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 - 2005
- [c3]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 - 2004
- [c2]Lishan Kang, Aimin Zhou, Robert I. McKay, Yan Li, Zhuo Kang:
Benchmarking algorithms for dynamic travelling salesman problems. IEEE Congress on Evolutionary Computation 2004: 1286-1292 - 2003
- [c1]Aimin Zhou, Lishan Kang, Zhenyu Yan:
Solving dynamic TSP with evolutionary approach in real time. IEEE Congress on Evolutionary Computation 2003: 951-957
Coauthor Index
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