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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[b2]Changhe Li, Shoufei Han
, Sanyou Zeng, Shengxiang Yang:
Intelligent Optimization - Principles, Algorithms and Applications. Springer 2024, ISBN 978-981-97-3285-2, pp. 1-361- [j35]Hanhua Zou, Sanyou Zeng, Changhe Li, Jingyu Ji:
A survey of machine learning and evolutionary computation for antenna modeling and optimization: Methods and challenges. Eng. Appl. Artif. Intell. 138: 109381 (2024) - [j34]Hai Xia, Changhe Li, Qingshan Tan, Sanyou Zeng, Shengxiang Yang:
Learning to search promising regions by space partitioning for evolutionary methods. Swarm Evol. Comput. 91: 101726 (2024) - [c58]Zhaohuai Liang, Changhe Li:
Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching. AAAI 2024: 3333-3341 - [c57]Michalis Mavrovouniotis, Changhe Li, Danial Yazdani, Diofantos G. Handjimitsis:
Exchange Strategies for Multi-Colony Ant Algorithms in Dynamic Environments. CEC 2024: 1-8 - [c56]Li Yang, Zhibin He, Tianyang Zhong, Changhe Li, Dajiang Zhu, Junwei Han, Tianming Liu, Tuo Zhang:
Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. MICCAI (7) 2024: 140-149 - [c55]Changhe Li, Baohua Zhang, Chao Wang:
Cross-Lingual Entity Alignment Model Based on Multi-entity Enhancement and Semantic Information. PRICAI (2) 2024: 388-400 - 2023
- [j33]Miao Gong, Fei Zhao, Sanyou Zeng, Changhe Li:
An experimental study on local and global optima of linear antenna array synthesis by using the sequential least squares programming. Appl. Soft Comput. 148: 110859 (2023) - [j32]Caie Hu, Sanyou Zeng, Changhe Li:
Scalable GP with hyperparameters sharing based on transfer learning for solving expensive optimization problems. Appl. Soft Comput. 148: 110866 (2023) - [j31]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) - [j30]Caie Hu, Sanyou Zeng, Changhe Li:
An Uncertainty Measure for Prediction of Non-Gaussian Process Surrogates. Evol. Comput. 31(1): 53-71 (2023) - [j29]Caie Hu, Sanyou Zeng, Changhe Li:
A framework of global exploration and local exploitation using surrogates for expensive optimization. Knowl. Based Syst. 280: 111018 (2023) - [j28]Caie Hu, Sanyou Zeng, Changhe Li, Fei Zhao:
On Nonstationary Gaussian Process Model for Solving Data-Driven Optimization Problems. IEEE Trans. Cybern. 53(4): 2440-2453 (2023) - [j27]Junchen Wang, Changhe Li, Sanyou Zeng, Shengxiang Yang:
History-Guided Hill Exploration for Evolutionary Computation. IEEE Trans. Evol. Comput. 27(6): 1962-1975 (2023) - [c54]Qingshan Tan, Changhe Li, Sanyou Zeng, Shengxiang Yang:
A Subspace-Based Non-Dominated Subset Selection Method. CEC 2023: 1-8 - [c53]Yaqi Ti, Changhe Li, Shengxiang Yang:
A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-Objective Perspective. CEC 2023: 1-8 - [c52]Yiya Diao, Changhe Li, Sanyou Zeng, Shengxiang Yang:
Nearest better network for visualization of the fitness landscape. GECCO Companion 2023: 815-818 - [c51]Jiaxing Gao, Lin Zhao, Tianyang Zhong, Changhe Li, Zhibin He, Yaonai Wei, Shu Zhang, Lei Guo, Tianming Liu, Junwei Han, Tuo Zhang:
Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet. MICCAI (2) 2023: 287-296 - [i6]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) - 2022
- [j26]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) - [c50]Caie Hu, Sanyou Zeng, Changhe Li:
Hyperparameters Adaptive Sharing Based on Transfer Learning for Scalable GPs. CEC 2022: 1-7 - [c49]Michalis Mavrovouniotis, Changhe Li, Georgios Ellinas, Marios M. Polycarpou:
Solving the Electric Capacitated Vehicle Routing Problem with Cargo Weight. CEC 2022: 1-8 - [c48]Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang:
Learning to Search Promising Regions by a Monte-Carlo Tree Model. CEC 2022: 1-8 - [c47]Jiaxing Gao, Changhe Li, Zhibin He, Yaonai Wei, Lei Guo, Junwei Han, Shu Zhang, Tuo Zhang:
Prediction of Cognitive Scores by Movie-Watching FMRI Connectivity and Eye Movement Via Spectral Graph Convolutions. ISBI 2022: 1-5 - [c46]Changhe Li, Jiaxing Gao, Zhibin He, Songyao Zhang, Yaonai Wei, Lei Du, Lei Guo, Junwei Han, Shu Zhang, Tuo Zhang:
Bridging Natruralistic Stimuli, Eye Movement And Brain Activity Via Cca And Locality Preserving Projection. ISBI 2022: 1-5 - [c45]Michalis Mavrovouniotis, Georgios Ellinas, Changhe Li, Marios M. Polycarpou:
A Multiple Ant Colony System for the Electric Vehicle Routing Problem with Time Windows. SSCI 2022: 796-803 - [i5]Wenjian Luo, Xin Lin, Changhe Li, Shengxiang Yang, Yuhui Shi:
Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments. CoRR abs/2201.00523 (2022) - [i4]Yuzhong Chen, Zhenxiang Xiao, Lin Zhao, Lu Zhang, Haixing Dai, David Weizhong Liu, Zihao Wu, Changhe Li, Tuo Zhang, Changying Li, Dajiang Zhu, Tianming Liu, Xi Jiang:
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning. CoRR abs/2205.09995 (2022) - [i3]Li Yang, Zhibin He, Changhe Li, Junwei Han, Dajiang Zhu, Tianming Liu, Tuo Zhang:
Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. CoRR abs/2205.10605 (2022) - [i2]Chong Ma, Lin Zhao, Yuzhong Chen, Lu Zhang, Zhenxiang Xiao, Haixing Dai, David Weizhong Liu, Zihao Wu, Zhengliang Liu, Sheng Wang, Jiaxing Gao, Changhe Li, Xi Jiang, Tuo Zhang, Qian Wang, Dinggang Shen, Dajiang Zhu, Tianming Liu:
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning. CoRR abs/2205.12466 (2022) - 2021
- [j25]Ruwang Jiao, Sanyou Zeng, Changhe Li, Yew-Soon Ong:
Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization. Inf. Sci. 578: 592-614 (2021) - [j24]Ruwang Jiao, Sanyou Zeng, Changhe Li, Shengxiang Yang, Yew-Soon Ong:
Handling Constrained Many-Objective Optimization Problems via Problem Transformation. IEEE Trans. Cybern. 51(10): 4834-4847 (2021) - [j23]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) - [c44]Qingshan Tan, Changhe Li, Hai Xia, Sanyou Zeng, Shengxiang Yang:
A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems. CEC 2021: 111-118 - [c43]Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang:
A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems. CEC 2021: 1938-1945 - [c42]Baojian Chen, Changhe Li, Sanyou Zeng, Shengxiang Yang, Michalis Mavrovouniotis:
An Adaptive Evolutionary Algorithm for Bi- Level Multi-objective VRPs with Real-Time Traffic Conditions. SSCI 2021: 1-8 - [c41]Caie Hu, Sanyou Zeng, Changhe Li:
An Adaptive Model Management Strategy: Balancing Exploration and Exploitation. SSCI 2021: 1-8 - [i1]Danial Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Changhe Li, Michalis Mavrovouniotis, Trung Thanh Nguyen, Shengxiang Yang, Xin Yao:
Generalized Moving Peaks Benchmark. CoRR abs/2106.06174 (2021) - 2020
- [j22]Michalis Mavrovouniotis, Shengxiang Yang, Mien Van, Changhe Li, Marios M. Polycarpou:
Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier]. IEEE Comput. Intell. Mag. 15(1): 52-63 (2020) - [j21]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) - [c40]Yan Liang, Changhe Li:
Discussion on Teaching Reform of Computer Education Major Based on Information Key Competency. ICCSE 2020: 267-271 - [c39]Long Xiao, Changhe Li, Junchen Wang, Michalis Mavrovouniotis, Shengxiang Yang, Xiaorong Dan:
Modeling and Evolutionary Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions. ICMLC 2020: 518-523
2010 – 2019
- 2019
- [j20]Sanyou Zeng, Ruwang Jiao, Changhe Li, Rui Wang:
Constrained optimisation by solving equivalent dynamic loosely-constrained multiobjective optimisation problem. Int. J. Bio Inspired Comput. 13(2): 86-101 (2019) - [j19]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) - [j18]Ruwang Jiao, Sanyou Zeng, Changhe Li:
A feasible-ratio control technique for constrained optimization. Inf. Sci. 502: 201-217 (2019) - [j17]Ran Wang, Trung Thanh Nguyen, Changhe Li, Ian Jenkinson, Zaili Yang, Shayan Kavakeb:
Optimising discrete dynamic berth allocations in seaports using a Levy Flight based meta-heuristic. Swarm Evol. Comput. 44: 1003-1017 (2019) - [j16]Changhe Li, Trung Thanh Nguyen, Sanyou Zeng, Ming Yang, Min Wu:
An Open Framework for Constructing Continuous Optimization Problems. IEEE Trans. Cybern. 49(6): 2316-2330 (2019) - [c38]Ruwang Jiao, Sanyou Zeng, Changhe Li, Witold Pedrycz:
Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling. CEC 2019: 1634-1641 - [c37]Yiya Diao, Changhe Li, Sanyou Zeng, Michalis Mavrovouniotis, Shengxiang Yang:
Memory-based multi-population genetic learning for dynamic shortest path problems. CEC 2019: 2276-2283 - [c36]Xiaofang Wu, Changhe Li, Sanyou Zeng, Shengxiang Yang:
A Novel Multi-objective Evolutionary Algorithm Based on Space Partitioning. ISICA 2019: 127-142 - [c35]Michalis Mavrovouniotis, Changhe Li, Georgios Ellinas, Marios M. Polycarpou:
Parallel Ant Colony Optimization for the Electric Vehicle Routing Problem. SSCI 2019: 1660-1667 - 2018
- [j15]Ming Yang, Changhe Li, Jing Guan, Xuesong Yan:
A Supervised-Learning p-Norm Distance Metric for Hyperspectral Remote Sensing Image Classification. IEEE Geosci. Remote. Sens. Lett. 15(9): 1432-1436 (2018) - [c34]Junchen Wang, Changhe Li, Yiya Diao, Sanyou Zeng, Hui Wang:
An efficient nondominated sorting algorithm. GECCO (Companion) 2018: 203-204 - [c33]Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang:
Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimization. GECCO (Companion) 2018: 213-214 - [c32]Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang, Junchen Wang:
Expected improvement of constraint violation for expensive constrained optimization. GECCO 2018: 1039-1046 - 2017
- [j14]Ruwang Jiao, Sanyou Zeng, Jawdat S. Alkasassbeh, Changhe Li:
Dynamic multi-objective evolutionary algorithms for single-objective optimization. Appl. Soft Comput. 61: 793-805 (2017) - [j13]Xi Li, Sanyou Zeng, Changhe Li, Jiantao Ma:
Many-objective optimization with dynamic constraint handling for constrained optimization problems. Soft Comput. 21(24): 7435-7445 (2017) - [j12]Michalis Mavrovouniotis, Changhe Li, Shengxiang Yang:
A survey of swarm intelligence for dynamic optimization: Algorithms and applications. Swarm Evol. Comput. 33: 1-17 (2017) - [j11]Sanyou Zeng, Ruwang Jiao, Changhe Li, Xi Li, Jawdat S. Alkasassbeh:
A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization. IEEE Trans. Cybern. 47(9): 2678-2688 (2017) - [j10]Ming Yang, Mohammad Nabi Omidvar, Changhe Li, Xiaodong Li, Zhihua Cai, Borhan Kazimipour, Xin Yao:
Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization. IEEE Trans. Evol. Comput. 21(4): 493-505 (2017) - [c31]Sanyou Zeng, Ruwang Jiao, Changhe Li, Bin Lan, Huanhuan Li, Jianqing Sun, Yongzhi Sun:
Typical Constrained Optimization Formulation in Evolutionary Computation Not Suitable for Expensive Optimization. ISICA (1) 2017: 232-245 - [c30]Yiya Diao, Changhe Li, Yebin Ma, Junchen Wang, Xingang Zhou:
A Probabilistic Learning Algorithm for the Shortest Path Problem. SEAL 2017: 631-643 - 2016
- [j9]Changhe Li, Trung Thanh Nguyen, Ming Yang, Michalis Mavrovouniotis, Shengxiang Yang:
An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima. IEEE Trans. Evol. Comput. 20(4): 590-605 (2016) - [c29]Changhe Li:
An Efficient Benchmark Generator for Dynamic Optimization Problems. BIC-TA (2) 2016: 60-72 - [c28]Yong Xia, Changhe Li:
Memory-based statistical learning for the travelling salesman problem. CEC 2016: 2935-2941 - [c27]Ming Yang, Jing Guan, Changhe Li:
Differential evolution with auto-enhanced population diversity: The experiments on the CEC'2016 competition. CEC 2016: 4785-4789 - [c26]Caitao Zhan, Changhe Li:
Shape Formation in Games: A Probability-Based Evolutionary Approach. CIS 2016: 518-521 - [c25]Ran Wang, Trung Thanh Nguyen, Shayan Kavakeb, Zaili Yang, Changhe Li:
Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-Event Simulation. EvoApplications (2) 2016: 266-279 - 2015
- [j8]Changhe Li, Trung Thanh Nguyen, Ming Yang, Shengxiang Yang, Sanyou Zeng:
Multi-population methods in unconstrained continuous dynamic environments: The challenges. Inf. Sci. 296: 95-118 (2015) - [j7]Ming Yang, Changhe Li, Zhihua Cai, Jing Guan:
Differential Evolution With Auto-Enhanced Population Diversity. IEEE Trans. Cybern. 45(2): 302-315 (2015) - [c24]Hui Wang, Wenjun Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan, Yong Liu:
A modified cuckoo search algorithm for flow shop scheduling problem with blocking. CEC 2015: 456-463 - 2014
- [j6]Changhe Li, Shengxiang Yang, Ming Yang:
An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems. Evol. Comput. 22(4): 559-594 (2014) - [j5]Qing Zhang, Sanyou Zeng, Changhe Li:
Dynamic and random differential evolution solving constrained optimisation problems. Int. J. Comput. Sci. Math. 5(2): 137-150 (2014) - [c23]Ming Yang, Zhihua Cai, Changhe Li, Jing Guan:
An improved JADE algorithm for global optimization. IEEE Congress on Evolutionary Computation 2014: 806-812 - [c22]Ming Yang, Jing Guan, Zhihua Cai, Changhe Li:
A dimensional-level adaptive differential evolutionary algorithm for continuous optimization. GECCO (Companion) 2014: 123-124 - [c21]Yong Xia, Changhe Li, Sanyou Zeng:
Three New Heuristic Strategies for Solving Travelling Salesman Problem. ICSI (1) 2014: 181-188 - 2013
- [j4]Hui Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan, Jeng-Shyang Pan:
Diversity enhanced particle swarm optimization with neighborhood search. Inf. Sci. 223: 119-135 (2013) - [c20]Ming Yang, Zhihua Cai, Changhe Li, Jing Guan:
An improved adaptive differential evolution algorithm with population adaptation. GECCO 2013: 145-152 - [c19]Zhu Liu, Sanyou Zeng, Yuhong Jiang, Changhe Li, Ni Ouyang:
Evolutionary design of a wide-band twisted dipole antenna for X-band application. ICES 2013: 9-12 - 2012
- [j3]Changhe Li, Shengxiang Yang:
A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments. IEEE Trans. Evol. Comput. 16(4): 556-577 (2012) - [j2]Changhe Li, Shengxiang Yang, Trung Thanh Nguyen:
A Self-Learning Particle Swarm Optimizer for Global Optimization Problems. IEEE Trans. Syst. Man Cybern. Part B 42(3): 627-646 (2012) - [c18]Changhe Li, Shengxiang Yang, Ming Yang:
Maintaining diversity by clustering in dynamic environments. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [b1]Changhe Li:
Particle swarm optimization in stationary and dynamic environments. University of Leicester, UK, 2011 - 2010
- [j1]Shengxiang Yang, Changhe Li:
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments. IEEE Trans. Evol. Comput. 14(6): 959-974 (2010) - [c17]Changhe Li, Shengxiang Yang:
Adaptive learning particle swarm optimizer-II for global optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c16]Imtiaz Ali Korejo, Shengxiang Yang, Changhe Li:
A Directed Mutation Operator for Real Coded Genetic Algorithms. EvoApplications (1) 2010: 491-500
2000 – 2009
- 2009
- [c15]Changhe Li, Shengxiang Yang:
An adaptive learning particle swarm optimizer for function optimization. IEEE Congress on Evolutionary Computation 2009: 381-388 - [c14]Changhe Li, Shengxiang Yang:
A clustering particle swarm optimizer for dynamic optimization. IEEE Congress on Evolutionary Computation 2009: 439-446 - [c13]Qin Tang, Jianyou Zeng, Hui Li, Changhe Li, Yong Liu:
A Particle Swarm Optimization Algorithm Based on Genetic Selection Strategy. ISNN (3) 2009: 126-135 - 2008
- [c12]Zhuo Kang, Lishan Kang, Changhe Li, Yuping Chen, Minzhong Liu:
Convergence properties of E-optimality algorithms for Many objective Optimization Problems. IEEE Congress on Evolutionary Computation 2008: 472-477 - [c11]Changhe Li, Shengxiang Yang:
Fast Multi-Swarm Optimization for Dynamic Optimization Problems. ICNC (7) 2008: 624-628 - [c10]Yali Hou, Changhe Li, Yucheng Ding:
Theoretical Analysis and Experimental Evaluation Surface Morphology Integration of Grinding and Precision Finishing. PACIIA (2) 2008: 135-139 - [c9]Changhe Li, Shengxiang Yang:
An Island Based Hybrid Evolutionary Algorithm for Optimization. SEAL 2008: 180-189 - [c8]Changhe Li, Shengxiang Yang:
A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization. SEAL 2008: 391-400 - 2007
- [c7]Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Zeng:
Opposition-based particle swarm algorithm with cauchy mutation. IEEE Congress on Evolutionary Computation 2007: 4750-4756 - [c6]Zhuo Kang, Lishan Kang, Xiufen Zou, Minzhong Liu, Changhe Li, Ming Yang, Yan Li, Yuping Chen, Sanyou Zeng:
A New Evolutionary Decision Theory for Many-Objective Optimization Problems. ISICA 2007: 1-11 - [c5]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 - [c4]Qing Zhang, Changhe Li, Yong Liu, Lishan Kang:
Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation. ISICA 2007: 344-352 - [c3]Hui Wang, Yong Liu, Changhe Li, Sanyou Zeng:
A Hybrid Particle Swarm Algorithm with Cauchy Mutation. SIS 2007: 356-360 - 2006
- [c2]Changhe Li, Guangqi Cai:
Material Removal Mechanisms Analysis in the Finishing Machining of Engineering Ceramics. PROLAMAT 2006: 729-734 - [c1]Changhe Li, Ming Yang, Lishan Kang:
A New Approach to Solving Dynamic Traveling Salesman Problems. SEAL 2006: 236-243
Coauthor Index
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