Welcome to Changhe Li's Publications Page

Note: For research purpose, some of the whole papers listed below are provided. However,the copyright of these papers belongs to the corresponding publishers.

• Books
  1. Changhe Li, Sanyou Zeng, Ming Yang and Shengxiang Yang. Intelligent Optimization, China University of Geosciences Press, Wuhan China, 2022, ISBN: 978-7-5625-5230-7
• Journal Papers
  1. Caie Hu, Sanyou Zeng and Changhe Li*. Scalable GP with Hyperparameters Sharing Based on Transfer Learning for Solving Expensive Optimization Problems[J]. Applied Soft Computing, 2023, doi:10.1016/j.asoc.2023.110866.
  2. Caie Hu, Sanyou Zeng and Changhe Li*. A Framework of Global Exploration and Local Exploitation using Surrogates for Expensive Optimization[J]. Knowledge-Based Systems, 2023, doi:10.1016/j.knosys.2023.111018.
  3. Junchen Wang, Changhe Li*, Sanyou Zeng and Shengxiang Yang. History-Guided Hill Exploration for Evolutionary Computation, IEEE Transactions on Evolutionary Computation, 2023, accepted
  4. Caie Hu, Sanyou Zeng, and Changhe Li*. An Uncertainty Measure for Prediction of Non-Gaussian Process Surrogates, Evolutionary Computation, 2023, 31(1): 53–71
  5. 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 Systems with Applications, 2022: 203:117397
  6. Caie Hu, Sanyou Zeng, Changhe Li* and Fei Zhao. On Nonstationary Gaussian Process Model for Solving Data-driven Optimization Problems. IEEE Transactions on Cybernetics, 2023, 53(4): 2440-2453.
  7. 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.
  8. 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, 2021,147(5): 04021014
  9. Ruwang Jiao,Sanyou Zeng, Changhe Li*, Shengxiang Yang, Yew-Soon Ong. Handling Constrained Many-objective Optimization Problems via Problem Transformation. IEEE Transactions on Cybernetics, 2021, 51(10):4834 - 4847
  10. Qinghui Xu, Sanyou Zeng, Fei Zhao, Ruwang Jiao, Changhe Li. On Formulating and Designing Antenna Arrays by Evolutionary Algorithms, in IEEE Transactions on Antennas and Propagation, 2021, 69(2):1118 - 1129.
  11. Ming Yang, Aimin Zhou, Changhe Li*, Xin Yao. An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems. IEEE Transactions on Evolutionary Computation, 2021,25(1):159-171
  12. Michalis Mavrovouniotis, Shengxiang Yang, Mien Van, Changhe Li, Marios Polycarpou. Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem. IEEE Computational Intelligence Magazine, 2020,15(1):52-63.
  13. 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.
  14. Sanyou Zeng, Ruwang Jiao, Changhe Li, Rui Wang. Constrained Optimisation by Solving Equivalent Dynamic Loosely-constrained Multiobjective Optimisation Problem. International Journal of Bio-Inspired Computation, 2019, 13(2): 86-101.
  15. Ruwang Jiao, Sanyou Zeng, Changhe Li*. A Feasible-ratio Control Technique for Constrained Optimization. Information Sciences, 2019, 502: 201-217
  16. 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 and Evolutionary Computation, 2019, 44: 1003-1017.
  17. 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
  18. Ming Yang, Changhe Li,Jing Guan,Xuesong Yan A Supervised-Learning p-Norm Distance Metric for Hyperspectral Remote Sensing Image Classification. IEEE Geoscience and Remote Sensing Letters, 2018,15(9):1432-1436.
  19. 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.
  20. Ruwang Jiao, Sanyou Zeng, Jawdat S. Alkasassbeh and Changhe Li. Dynamic Multi-objective Evolutionary Algorithms for Single-objective Optimization. Applied Soft Computing, 2017,61 :793-805.
  21. Michalis Mavrovouniotis, Changhe Li* and Shengxiang Yang. A Survey of Swarm Intelligence for Dynamic Optimization : Algorithms and Applications. Swarm and Evolutionary Computation, 2017,33 :1-17.
  22. Sanyou Zeng, Ruwang Jiao, Changhe Li*, Xi Li and Jawdat S. Alkasassbeh. A General Framework of Dynamic Constrained Multi-objective Evolutionary Algorithms for Constrained Optimization. IEEE Transactions on Cybernetics, 2017,47(9) :2678-2688.
  23. Ming Yang, Mohammad Nabi Omidvar,Changhe Li,Zhihua Cai, Xiaodong Li, Borhan Kazimipour and Xin Yao. Efficient Resource Allocation in Cooperative Co-evolution for Large-scale Global Optimization. IEEE Transactions on Evolutionary Computation. 2017,21(4):493-505
  24. Xi Li, Sanyou Zeng and Changhe Li*. Many-objective Optimization with Dynamic Constraint Handling for Constrained Optimization Problems. Soft Computing, 2017, 21(24):7435-7445.
  25. Changhe Li, Trung Thanh Nguyen, Ming Yang, Michalis Mavrovouniotis and Shengxiang Yang. An Adaptive Multi-population Framework for Locating and Tracking Multiple Optima. IEEE Transactions on Evolutionary Computation, 2016,20(4) :590-605.
  26. Changhe Li, Trung Thanh Nguyen, Ming Yang, Shengxiang Yang and Sanyou Zeng. Multi-population Methods in Unconstrained Continuous Dynamic Environments : The Challenges. Information Sciences, Elsevier, 2015,296(296) :95-118.
  27. Ming Yang, Changhe Li*, Zhihua Cai and Jing Guan. Differential Evolution with Auto-Enhanced Population Diversity. IEEE Transactions on Cybernetics, 2015,45(2) :302-315.
  28. Changhe Li, Ming Yang and Shengxiang Yang. An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems. Evolutionary Computation, MIT press,2014,22(4) :559-594.
  29. Hui Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan and Jeng-shyang Pan. Diversity Enhanced Particle Swarm Optimization with Neighborhood Search. Information Sciences, 2013,223 :119-135.
  30. Changhe Li, Shengxiang Yang and Trung Thanh Nguyen. 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.
  31. Changhe Li and Shengxiang Yang. A General Framework of Multi-population Methods with Clustering in Undetectable Dynamic Environments. IEEE Transactions on Evolutionary Computation, 2012,16(4) :556-577.
  32. Shengxiang Yang and Changhe Li. A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments. IEEE Transactions on Evolutionary Computation, 2010,14(6) :959-974.
  33. Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Changhe Li, Sanyou Zeng and Dazhi Jiang. Particle Swarm Optimization with Simple and Efficient Neighborhood Search Strategies. International Journal of Innovative Computing and Applications, 2011,3(2) :97-104.
• Conference Papers
  1. Caie Hu, Sanyou Zeng, Changhe Li. Hyperparameters Adaptive Sharing Based on Transfer Learning for Scalable GPs, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022, July 18-23.
  2. Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang. Learning to Search Promising Regions by a Monte-Carlo Tree Model, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022, July 18-23.
  3. Baojian Chen, Changhe Li, Shengxiang Yang, and Michalis Michalis. An Adapive Evolutionary Algorithm for Bi-Level Multi-objective VRPs with Real-Time Traffic Conditions. 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, Florida, USA, 2021
  4. Caie Hu , Sanyou Zeng and Changhe Li. An Adaptive Model Management Strategy: Balancing Exploration and Exploitation. 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, Florida, USA, 2021
  5. Qingshan Tan, Changhe Li, Hai Xia, Sanyou Zeng and Shengxiang Yang. A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems, 2021 IEEE Congress on Evolutionary Computation, Kraków, Poland, 2021, 111-118.
  6. Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang and Shengxiang Yang. A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems, 2021 IEEE Congress on Evolutionary Computation, Kraków, Poland, 2021, 1938-1945.
  7. Yongfeng Liu, Changhe Li, Sanyou Zeng. A Simulation-based Online Evolutionary Algorithm for Combat in StarCraft II, 2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), Hangzhou, China, 2020, 113-116
  8. 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. Proceedings of the 2020 12th International Conference on Machine Learning and Computing, Shenzhen, China 2020, 518-523
  9. Michalis Mavrovouniotis, Changhe Li, Georgios Ellinas, Marios Polycarpou.Parallel Ant Colony Optimization for the Electric Vehicle Routing Problem. 2019 IEEE Symposium Series on Computational Intelligence (SSCI) Xiamen, China, 2019, 1660-1667
  10. Xiaofang Wu, Changhe Li, Sanyou Zeng, Shengxiang Yang. A novel multi-objective evolutionary algorithm based on space partitioning. International Symposium on Intelligence Computation and Applications, Guangzhou, China, 2019,127-142
  11. Yiya Diao, Changhe Li, Sanyou Zeng, Michalis Mavrovouniotis and Shengxiang Yang, Memory-based multi-population genetic learning for dynamic shortest path problems, 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, 2019, 2276-2283.
  12. Ruwang Jiao, Sanyou Zeng, Changhe Li and Witold Pedrycz, Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling, 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, 2019, 1634-1641.
  13. Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang,and Junchen Wang, Expected improvement of constraint violation for expensive constrained optimization, Genetic and Evolutionary Computation Conference (GECCO), ACM, Kyoto, Japan, 2018, 1039-1046.
  14. Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang. Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimization, Genetic and Evolutionary Computation Conference (GECCO), ACM, Kyoto, Japan, 2018, 213-214.
  15. Junchen Wang, Changhe Li, Yiya Diao, Sanyou Zeng, Hui Wang. An efficient nondominated sorting algorithm. Proceedings of the Genetic and Evolutionary Computation Conference, 203-204, Kyoto, Japan, 2018
  16. Yiya Diao, Changhe Li, Junchen Wang, Sanyou Zeng. A novel non-dominated sorting approach based on dominance ranking graph. Proceedings of the 37th Chinese Control Conference, Wuhan, China, July 25-27,2018
  17. Diao, Yiya, Changhe Li, Yebin Ma, Junchen Wang, and Xingang Zhou, A Probabilistic Learning Algorithm for the Shortest Path Problem, in Simulated Evolution and Learning: 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings, Y. Shi, et al., Y. Shi, et al.^Editors. 2017, Springer International Publishing: Cham. p. 631-643.
  18. Yong Xia, Changhe Li. Memory-based Statistical Learning for The Travelling Salesman Problem. IEEE International Conference on Evolutionary Computation (IEEE CEC 2016),2935-2941, Vancouver, Canada, July 2016,24-29.
  19. Changhe Li. An Efficient Benchmark Generator for Dynamic Optimization Problems. The 11th International Conference on Bio-inspired Computing : Theories and Applications (BIC-TA 2016), 682:60-72, Xi'an, China,2016.
  20. Caitao Zhan, Changhe Li. Shape Formation in Games : a Probability-based Evolutionary Approach. The 12th International Conference on Computational Intelligence and Security (CIS'2016) ,Wuxi,China,2016.
  21. Yong Xia, Changhe Li and Sanyou Zeng. Three New Heuristic Strategies For Solving Travelling Salesman Problem. Proceedings of the Fifth International Conference on Swarm Intelligence (ICSI-014), 2014,8794 :181-188.
  22. Changhe Li, Shengxiang Yang and Ming Yang. Maintaining Diversity by Clustering in Dynamic Environments. Proceedings of the 2012 IEEE Congress on Evolutionary Computation, Brisbane, QLD,2012,1-8.
  23. Changhe Li and Shengxiang Yang. Adaptive Learning Particle Swarm Optimizer--II for Function Optimization. Proceedings of the 2010 IEEE Congress on Evolutionary Computation, Barcelona, 2010,1-8. (PDF File)
  24. Imtiaz Korejo, Shengxiang Yang and Changhe Li. A Directed Mutation Operator for Real Coded Genetic Algorithms. To appear in EvoApplications 2010 : Applications of Evolutionary Computing, LNCS, 2010,6024 : 491-500.
  25. Imtiaz Korejo, Shengxiang Yang and Changhe Li. A Comparative Study of Adaptive Mutation Operators for Genetic Algorithms. Proceedings of the 8th Metaheuristic International Conference, 2009.
  26. Changhe Li and Shengxiang Yang. An Adaptive Learning Particle Swarm Optimizer for Function Optimization. Proceedings of the 2009 IEEE Congress on Evolutionary Computation,2009,381-388. IEEE Press. (PDF File)
  27. Changhe Li and Shengxiang Yang. A Clustering Particle Swarm Optimizer for Dynamic Optimization. Proceedings of the 2009 IEEE Congress on Evolutionary Computation,2009,439-446. IEEE Press. (PDF File)
  28. Changhe Li and Shengxiang Yang. A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization. Proceedings of the 7th Int. Conf. on Simulated Evolution and Learning, 2008. Springer.(PDF File)
  29. Changhe Li and Shengxiang Yang. An Island Based Hybrid Evolutionary Algorithm for Optimization. Proceedings of the 7th Int. Conf. on Simulated Evolution and Learning, 2008,Springer.(PDF File)
  30. Zhuo Kang, Lishan Kang, Changhe Li, Yuping Chen and Minzhong Liu. Convergence Properties of E-optimality Algorithms for Many Objective Optimization Problems. Evolutionary Computation, 2008. CEC, 2008,472-477.
  31. Changhe Li, Shengxiang Yang and Imtiaz Ali Korejo. An Adaptive Mutation Operator for Particle Swarm Optimization. Proceedings of the 2008 UK Workshop on Computational Intelligence, 2008,165-170. (PDF File)
  32. Changhe Li and Shengxiang Yang. Fast Multi-swarm Optimization for Dynamic Optimization Problems. Proceedings of the 4th International Conference on Natural Computation,2008,7(1) :624-628. IEEE Press.(PDF File)
  33. Changhe Li, Yong Liu, Lishan Kang and Aimin Zhou. A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy. Springer Press,ISICA2007, LNCS4683, 2007,201(s 1-3) : 701-705.(PDF File)
  34. Q. Zhang,Changhe Li, Yong Liu and Lishan Kang. Fast Multi-swarm Optimization with Cauchy Mutation and Crossover operation. ISICA07. Springer Press,ISICA2007, LNCS 4683, 2007,28 : 344-352.
  35. Yu gan, Changhe Li and Lishan Kang. New Function Optimization Algorithm Based on Gridding. Journal of Computer Applications, 2007,27(07) : 1760-1762.
  36. Hui Wang, Yong Liu, Changhe Li and Sanyou Zeng. A Hybrid Particle Swarm Algorithm with Cauchy Mutation. In the proceedings of the 2007 IEEE Swarm Intelligence Symposium,2007,356-360.
  37. Hui Wang, Yong Liu, Sanyou Zeng and Changhe Li. Opposition-based Particle Swarm Algorithm with Cauchy Mutation. CEC2007, IEEE Congress on Evolutionary Computation,2007,4750-4756.
  38. Zhuo Kang, Lishan Kang, X. Zou, M. Liu, C. Li.A. New Evolutionary Decision Theory for Many-Objective Optimization Problems. ISICA07,Springer Press,ISICA2007, LNCS 4683.
  39. Changhe Li, Ming Yang, Lishan Kang. A New Approach to Solving Dynamic Traveling Salesman Problems. Simulated Evolution and Learning 2006, Lecture Notes in Computer Science, vol 4247, 2006, 236-243.
• Book Chapters
  1. Changhe Li, Shengxiang Yang, Sanyou Zeng. Dynamic Multi-objective Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions. In: Min Wu, W. Pedrycz, Luefeng Chen (eds) Developments in Advanced Control and Intelligent Automation for Complex Systems. 2021, 289-307.
  2. Shengxiang Yang, Trung Thanh Nguyen, and Changhe Li. Evolutionary dynamic optimization: test and evaluation environments. In Shengxiang Yang Yang and Xin Yao (Eds.), Evolutionary Computation for Dynamic Optimization Problems, Volume 490 of the series Studies in Computational Intelligence, Chapter 1, pp. 3-37, Springer-Verlag Berlin Heidelberg, May 2013.
  3. Changhe Li and Shengxiang Yang. A comparative study on particle swarm optimization in dynamic environments. In Shengxiang Yang Yang and Xin Yao (Eds.), Evolutionary Computation for Dynamic Optimization Problems, Volume 490 of the series Studies in Computational Intelligence, Chapter 5, pp. 109-136, Springer-Verlag Berlin Heidelberg, May 2013.
• Technical Reports
  1. Changhe Li, Shengxiang Yang, D. Pelta. Benchmark Generator for CEC'2012 Competition on Evolutionary Computation for Dynamic Optimization Problems,Tech. Rep., the School of Computer Science, China University of Geosciences, Wuhan, China, 2012.
  2. Changhe Li, Shengxiang Yang, Trung Thanh Nguyen, E. L. Yu, X. Yao, Yaochu Jin, Hans-Georg Beyern and Ponnuthurai N. Suganthan, Benchmark generator for CEC'2009 competition on dynamic optimization, Tech. Rep., Department of Computer Science, University of Leicester, U.K., 2009.
• PhD Thesis
  1. Particle Swarm Optimization in Stationary and Dynamic Environments.(PDF File)