NDLI: A different topology multi-swarm PSO in dynamic environment

Content Provider	IEEE Xplore Digital Library
Author	Zheng Xiangwei Liu Hong
Copyright Year	2009
Description	Author affiliation: School of Information Science and Engineering, Shandong Normal University, Jinan, China (Zheng Xiangwei; Liu Hong)
Abstract	Many applications can be formalized as dynamic problems and their main goals are to track the moving optimum. Many algorithms that address efficiently static problems, fail when applied to dynamic problems due to their inability to adapt and respond to changes in the environment. A different topology multi-swarm PSO is proposed to deal with problems in dynamic environment. The proposed algorithm integrates two different topology subswarms and the two subswarms exchange their best particle at checkpoints. One rapidly convergence to the optima and the other is responsible for local search and diversity reservation. The experiments demonstrate the proposed algorithm is effective and stable in dynamic environment.
Starting Page	790
Ending Page	795
File Size	382498
Page Count	6
File Format	PDF
ISBN	9781424439287
DOI	10.1109/ITIME.2009.5236313
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic processes topology Birds Educational institutions Topology Particle swarm optimization PSO Convergence Information science Insects multi-swarm Computational efficiency dynamic environment Marine animals
Content Type	Text
Resource Type	Article

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