activity
20152020
most citedSelective-Candidate Framework with Similarity Selection Rule for Evolutionary Optimization

24 citations · 28 across the 4 of their papers we have counts for

collaborators

5 papers

cs.NE2020★ 1 cited

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…

physics.soc-ph2018★ 1 cited

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…

cs.NE2018

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…

cs.NE2017★ 24 cited

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…

eess.SY2015★ 2 cited

Controllability of networked MIMO systems

Lin Wang, Guanrong Chen, Xiaofan Wang +1

In this paper, we consider the state controllability of networked systems, where the network topology is directed and weighted and the nodes are higher-dimensional linear time-inva…