Li Changhe 英文主页 Paper Publications 中国地质大学（武汉）教师个人主页系统

Li Changhe

Professor
Doctoral Supervisor
Master Tutor

Honors and Titles : 湖北省自然科学三等奖
Gender : Male
Alma Mater : University of Leicester
Education Level : Postgraduate (Doctoral)
Degree : Doctoral Degree in Engineering
School/Department : School of Automation, China University of Geosciences
Discipline : automation
Business Address : Room 710, School of Automation, China University of Geosciences, 388 Lumo Road, Wuhan, Hubei Province, China, 430074
Contact Information : 027-8717 5083
Email :

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Current position: 英文主页 >> Research >> Paper Publications

Paper Publications

2021-07-31
Ruwang Jiao, Sanyou Zeng, Changhe Li, Yew-Soon Ong, Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization, Information Sciences, 2021, 578: 592-614.
2021-01-22
Changhe Li, Trung Thanh Nguyen, Sanyou Zeng, Ming Yang and Min Wu. An Open Framework for Constructing Continuous Optimization Problems. IEEE Transactions on Cybernetics, 2019, 49(6):2316-2330.
2021-01-22
Ruwang Jiao, Sanyou Zeng, Changhe Li*, Yuhong Jiang, Yaochu Jin. A Complete Expected Improvement Criterion for Gaussian Process Assisted Highly Constrained Expensive Optimization. Information Sciences, 2019, 471:80-96.
2021-01-22
Ruwang Jiao, Sanyou Zeng, Changhe Li*. A Feasible-ratio Control Technique for Constrained Optimization. Information Sciences, 2019, 502: 201-217.
2021-01-22
Ming Yang, Aimin Zhou, Changhe Li*, Jing Guan, Xuesong Yan. CCFR2: A More Efficient Cooperative Co-evolutionary Framework for Large-scale Global Optimization. Information Sciences, 2020, 512: 64-79.
2021-01-22
Ming Yang, Aimin Zhou, Changhe Li*, Xin Yao. An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems. IEEE Transactions on Evolutionary Computation, 2020.
2021-01-22
Ruwang Jiao,Sanyou Zeng, Changhe Li*, Shengxiang Yang, Yew-Soon Ong. Handling Constrained Many-objective Optimization Problems via Problem Transformation. IEEE Transactions on Cybernetics, 2020.
2021-01-22
Changhe Li, Rui Yang, Li Zhou, Sanyou Zeng, Michalis Mavrovouniotis, Ming Yang, Shengxiang Yang, Min Wu. An Adaptive Multi-Population Evolutionary Algorithm for Contamination Source Identification in Water Distribution Systems. Journal of Water Resources Planning and Management, 2020.
2018-03-27
Ruwang Jiao.Dynamic Multi-objective Evolutionary Algorithms for Single-objective Optimization.Applied Soft Computing.2017,61 :793-805
2018-03-27
Michalis Mavrovouniotis, Changhe Li and Shengxiang.A Survey of Swarm Intelligence for Dynamic Optimization: Algorithms and Applications.Swarm and Evolutionary Computation.2017,33 :1-17
2018-03-27
Sanyou Zeng, Ruwang Jiao, Changhe Li, Xi Li.A General Framework of Dynamic Constrained Multi-objective Evolutionary Algorithms for Constrained Optimization.IEEE Transactions on Cybernetics.2017,47 (9):2678-2688
2018-03-31
Efficient Resource Allocation in Cooperative Co-evolution for Large-scale Global Optimization.IEEE Transactions on Evolutionary Computation.2017,21 (4):493-505
2018-03-31
Many-objective Optimization with Dynamic Constraint Handling for Constrained Optimization Problems.Soft Computing.2017,21 (24):7435-7445
2018-03-31
An Adaptive Multi-population Framework for Locating and Tracking Multiple Optima.IEEE Transactions on Evolutionary Computation.2016,20 (4):590-605
2018-03-31
Multi-population Methods in Unconstrained Continuous Dynamic Environments: The Challenges.Information Sciences, Elsevier.2015,296 (296):95-118
2018-03-31
Differential Evolution with Auto-Enhanced Population Diversity.IEEE Transactions on Cybernetics.2015,45 (2):302-315
2018-03-31
An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems.Evolutionary Computation, MIT press.2014,22 (4):559-594
2018-03-31
Diversity Enhanced Particle Swarm Optimization with Neighborhood Search.Information Sciences.2013,223 :119-135
2018-03-31
A Self-learning Particle Swarm Optimizer for Global Optimization Problems.IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics.2012,42 (3):627-646
2018-03-31
A General Framework of Multi-population Methods with Clustering in Undetectable Dynamic Environments.IEEE Transactions on Evolutionary Computation.2012,16 (4):556-557

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