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Multispecies Coevolution Particle Swarm Optimization Based on Previous Search History
Wang DP(王丹萍); Hu KY(胡琨元); Ma LB(马连博); He MW(何茂伟); Chen HN(陈瀚宁)
Department数字工厂研究室
Source PublicationDISCRETE DYNAMICS IN NATURE AND SOCIETY
ISSN1026-0226
2017
Volume2017Pages:1-22
Indexed BySCI
WOS IDWOS:000404398000001
Contribution Rank1
Funding OrganizationLiaoning Province Education Administration [L2015360, L2014473, L2015372] ; Tianjin Province Science and Technology Projects [16ZLZDZF00150] ; National Natural Science Foundation of China [61603261, 61503373, 61602343, 51607122]
AbstractA hybrid coevolution particle swarm optimization algorithm with dynamic multispecies strategy based on k-means clustering and nonrevisit strategy based on Binary Space Partitioning fitness tree (called MCPSO-PSH) is proposed. Previous search history memorized into the Binary Space Partitioning fitness tree can effectively restrain the individuals' revisit phenomenon. The whole population is partitioned into several subspecies and cooperative coevolution is realized by an information communication mechanism between subspecies, which can enhance the global search ability of particles and avoid premature convergence to local optimum. To demonstrate the power of the method, comparisons between the proposed algorithm and state-of-the-art algorithms are grouped into two categories: 10 basic benchmark functions (10-dimensional and 30-dimensional), 10 CEC2005 benchmark functions (30-dimensional), and a real-world problem (multilevel image segmentation problems). Experimental results show that MCPSO-PSH displays a competitive performance compared to the other swarm-based or evolutionary algorithms in terms of solution accuracy and statistical tests.
Language英语
WOS HeadingsScience & Technology ; Physical Sciences
WOS SubjectMathematics, Interdisciplinary Applications ; Multidisciplinary Sciences
WOS KeywordDIFFERENTIAL EVOLUTION ; MULTIPLE OPTIMA
WOS Research AreaMathematics ; Science & Technology - Other Topics
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/20738
Collection数字工厂研究室
Corresponding AuthorHe MW(何茂伟); Chen HN(陈瀚宁)
Affiliation1.Department of Information Service & Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100039, China
3.Shenyang University, Shenyang 110044, China
4.School of Computer Science and Software, Tianjin Polytechnic University, Tianjin 300387, China
Recommended Citation
GB/T 7714
Wang DP,Hu KY,Ma LB,et al. Multispecies Coevolution Particle Swarm Optimization Based on Previous Search History[J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY,2017,2017:1-22.
APA Wang DP,Hu KY,Ma LB,He MW,&Chen HN.(2017).Multispecies Coevolution Particle Swarm Optimization Based on Previous Search History.DISCRETE DYNAMICS IN NATURE AND SOCIETY,2017,1-22.
MLA Wang DP,et al."Multispecies Coevolution Particle Swarm Optimization Based on Previous Search History".DISCRETE DYNAMICS IN NATURE AND SOCIETY 2017(2017):1-22.
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