-
Research Interests
Swarm intelligence
Particle swarm optimization
Dynamic optimization
Multi-objective optimization
Artificial intelligence in games
Benchmarks for DOPs
The moving peaks problem(MPB, c++ codes in OFEC)
The generalized dynamic benchmark generator(GDBG, c++ codes in OFEC)
Conference Activites
Co-chair/Co-organizer
IEEE CEC 2013,Special Session on Evolutionary Computation in Dynamic and Uncertain Environments,CEC – ECiDUE‘13
IEEE WCCI 2012,Special Session Evolutionary Computation in Dynamic and Uncertain Environments,WCCI – ECiDUE‘12
Program Committee Member
IEEE Congress on Evolutionary Computation, CEC 2013
IEEE Symposium Series on Computational Intelligence, SSCI 2013
IEEE Would Congress on Computational Intelligence, WCCI 2012
Invited Talks
Liverpool John Moores University, "Tracking The Global Optimum Using Multi-swarm Approaches in Dynamic Environments", July 4, 2013
Reviewing Activities
Research Collaborators
Trung Thanh Nguyen
Shengxiang Yang
Ming Yang
Hui Wang
- Ruwang Jiao.Dynamic Multi-objective Evolutionary Algorithms for Single-objective Optimization.Applied Soft Computing.2017,61:793-805
- 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
- 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
- Efficient Resource Allocation in Cooperative Co-evolution for Large-scale Global Optimization.IEEE Transactions on Evolutionary Computation.2017,21(4):493-505
- Many-objective Optimization with Dynamic Constraint Handling for Constrained Optimization Problems.Soft Computing.2017,21(24):7435-7445
- An Adaptive Multi-population Framework for Locating and Tracking Multiple Optima.IEEE Transactions on Evolutionary Computation.2016,20(4):590-605
- Multi-population Methods in Unconstrained Continuous Dynamic Environments: The Challenges.Information Sciences, Elsevier.2015,296(296):95-118
- Differential Evolution with Auto-Enhanced Population Diversity.IEEE Transactions on Cybernetics.2015,45(2):302-315
- An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems.Evolutionary Computation, MIT press.2014,22(4):559-594
- Diversity Enhanced Particle Swarm Optimization with Neighborhood Search.Information Sciences.2013,223:119-135
- 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
- A General Framework of Multi-population Methods with Clustering in Undetectable Dynamic Environments.IEEE Transactions on Evolutionary Computation.2012,16(4):556-557
- A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments.IEEE Transactions on Evolutionary Computation.2010,14(6):959-974
- Particle Swarm Optimization with Simple and Efficient Neighborhood Search Strategies.International Journal of Innovative Computing and Applications.2011,3(2):97-104
- Changhe Li.A General Framework of Multi-population Methods with Clustering in Undetectable Dynamic Environments.IEEE Transactions on Evolutionary Computation.2012,16(4):556-577