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Lifecycle-Based Swarm Optimization Method for Numerical Optimization
Shen H(申海); Zhu YL(朱云龙); Liang, Xiaodan
Department信息服务与智能控制研究室
Source PublicationDISCRETE DYNAMICS IN NATURE AND SOCIETY
ISSN1026-0226
2014
Volume2014Pages:1-12
Indexed BySCI
WOS IDWOS:000346722100001
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China [61174164, 51205389, 61105067, 71001072, 71271140, 71240015]; National Natural Science Foundation of Liaoning province of China [201102200]; General Research Project of Liaoning province of China [L2012392]; Natural Science Foundation of Guangdong Province [S2012010008668, 9451806001002294]
AbstractBioinspired optimization algorithms have been widely used to solve various scientific and engineering problems. Inspired by biological lifecycle, this paper presents a novel optimization algorithm called lifecycle-based swarm optimization (LSO). Biological lifecycle includes four stages: birth, growth, reproduction, and death. With this process, even though individual organism died, the species will not perish. Furthermore, species will have stronger ability of adaptation to the environment and achieve perfect evolution. LSO simulates Biological lifecycle process through six optimization operators: chemotactic, assimilation, transposition, crossover, selection, and mutation. In addition, the spatial distribution of initialization population meets clumped distribution. Experiments were conducted on unconstrained benchmark optimization problems and mechanical design optimization problems. Unconstrained benchmark problems include both unimodal and multimodal cases the demonstration of the optimal performance and stability, and the mechanical design problem was tested for algorithm practicability. The results demonstrate remarkable performance of the LSO algorithm on all chosen benchmark functions when compared to several successful optimization techniques.
Language英语
WOS HeadingsScience & Technology ; Physical Sciences
WOS SubjectMathematics, Interdisciplinary Applications ; Multidisciplinary Sciences
WOS KeywordALGORITHMS ; SYSTEM
WOS Research AreaMathematics ; Science & Technology - Other Topics
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/15638
Collection信息服务与智能控制技术研究室
Corresponding AuthorZhu YL(朱云龙)
Affiliation1.College of Physics Science and Technology, Shenyang Normal University, Shenyang 110023, China
2.Laboratory of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences Shenyang, Shenyang 110016, China
3.School of Computer Science & Software Engineering, Tianjin Polytechnic University, Tianjin 300387, China
Recommended Citation
GB/T 7714
Shen H,Zhu YL,Liang, Xiaodan. Lifecycle-Based Swarm Optimization Method for Numerical Optimization[J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY,2014,2014:1-12.
APA Shen H,Zhu YL,&Liang, Xiaodan.(2014).Lifecycle-Based Swarm Optimization Method for Numerical Optimization.DISCRETE DYNAMICS IN NATURE AND SOCIETY,2014,1-12.
MLA Shen H,et al."Lifecycle-Based Swarm Optimization Method for Numerical Optimization".DISCRETE DYNAMICS IN NATURE AND SOCIETY 2014(2014):1-12.
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