NDLI: An Improved Discrete Particle Swarm Optimization Based on Cooperative Swarms

Content Provider	IEEE Xplore Digital Library
Author	Yiheng Xu Qiangwei Wang Jinglu Hu
Copyright Year	2008
Description	Author affiliation: Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu (Yiheng Xu; Qiangwei Wang; Jinglu Hu)
Abstract	The discrete particle swarm optimization (DPSO) is a kind of particle swarm optimization (PSO) algorithm to find optimal solutions for discrete problems. This paper proposes an improved DPSO based on cooperative swarms, which partition the search space into lower dimensional subspaces. The k-means split scheme and regular split scheme are applied to split the solution vector into swarms. Then the swarms optimize the different components of the solution vector cooperatively. Some strategies are further used to improve the accuracy and convergence. Application of the proposed cooperative swarms based DPSO (CDPSO) on the traveling salesman problem (TSP) shows a significant improvement over conventional DPSOs.
Starting Page	79
Ending Page	82
File Size	305236
Page Count	4
File Format	PDF
ISBN	9780769534961
DOI	10.1109/WIIAT.2008.103
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Production systems traveling salesman problem Particle production Optimized production technology Stochastic processes Traveling salesman problems Encoding cooperative swarms Partitioning algorithms Topology particle swarm optimization Particle swarm optimization Intelligent agent combinatorial problems
Content Type	Text
Resource Type	Article

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