4 papers
Adaptive strategy in differential evolution via explicit exploitation and exploration controls
Sheng Xin Zhang, Wing Shing Chan, Kit Sang Tang +1
Existing multi-strategy adaptive differential evolution (DE) commonly involves trials of multiple strategies and then rewards better-performing ones with more resources. However, t…
Knowledge Consensus in complex networks: the role of learning
Zhong-Yan Fan, Ying-Cheng Lai, Wallace Kit-Sang Tang
To reach consensus among interacting agents is a problem of interest for social, economical, and political systems. A computational and mathematical framework to investigate consen…
Multi-Layer Competitive-Cooperative Framework for Performance Enhancement of Differential Evolution
Sheng Xin Zhang, Li Ming Zheng, Kit Sang Tang +2
Differential Evolution (DE) is recognized as one of the most powerful optimizers in the evolutionary algorithm (EA) family. Many DE variants were proposed in recent years, but sign…
Selective-Candidate Framework with Similarity Selection Rule for Evolutionary Optimization
Sheng Xin Zhang, Wing Shing Chan, Zi Kang Peng +2
Achieving better exploitation and exploration capabilities (EEC) have always been an important yet challenging issue in the design of evolutionary optimization algorithm (EOA). The…