Multispecies Coevolution Particle Swarm Optimization Based on Previous Search History
文献类型:期刊论文
作者 | Wang DP(王丹萍)![]() ![]() ![]() |
刊名 | DISCRETE DYNAMICS IN NATURE AND SOCIETY
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出版日期 | 2017 |
卷号 | 2017页码:1-22 |
ISSN号 | 1026-0226 |
产权排序 | 1 |
通讯作者 | He MW(何茂伟) ; Chen HN(陈瀚宁) |
中文摘要 | A 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. |
WOS标题词 | Science & Technology ; Physical Sciences |
类目[WOS] | Mathematics, Interdisciplinary Applications ; Multidisciplinary Sciences |
研究领域[WOS] | Mathematics ; Science & Technology - Other Topics |
关键词[WOS] | DIFFERENTIAL EVOLUTION ; MULTIPLE OPTIMA |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000404398000001 |
源URL | [http://ir.sia.cn/handle/173321/20738] ![]() |
专题 | 沈阳自动化研究所_数字工厂研究室 |
作者单位 | 1.Department of Information Service & Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.School of Computer Science and Software, Tianjin Polytechnic University, Tianjin 300387, China 3.Shenyang University, Shenyang 110044, China 4.University of Chinese Academy of Sciences, Beijing 100039, China |
推荐引用方式 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. |
入库方式: OAI收割
来源:沈阳自动化研究所
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