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Adaptive bacterial foraging optimization algorithm based on social foraging strategy
Shen H(申海); Zhu YL(朱云龙)
作者部门信息服务与智能控制技术研究室
关键词Bacterial Foraging Optimization Algorithm Social Foraging Multimodal Numerical Optimization
发表期刊Journal of Networks
ISSN1796-2056
2014
卷号9期号:3页码:799-806
收录类别EI
EI收录号20141117465477
产权排序2
摘要In 2002, K. M. Passino proposed Bacterial Foraging Optimization Algorithm (BFOA) for distributed optimization and control. Biologic foraging strategies are diverse. Based on social and intelligent foraging theory, this paper proposed an adaptive bacterial foraging optimization algorithm, and introduced six foraging operators: chaos run operator, assimilation run operator, tumble operator, swimming operator, reproduction operator and elimination-dispersal operator. Among those operators, chaos run operator, assimilation run operator and reproduction operator were redefined in accordance with social foraging strategy. And others were same with the original algorithm. Experiments were conducted on 10 multimodal unconstrained benchmark optimization problems for demonstration the effectiveness and stability. The results demonstrate remarkable performance of the proposed algorithm on all chosen benchmark functions when compared to several successful optimization techniques. © 2014 ACADEMY PUBLISHER.
语种英语
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/14741
专题信息服务与智能控制技术研究室
通讯作者Shen H(申海)
作者单位1.College of Physics Science and Technology, Shenyang Normal University, Shenyang, China
2.3Laboratory of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences Shenyang, Shenyang, China
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Shen H,Zhu YL. Adaptive bacterial foraging optimization algorithm based on social foraging strategy[J]. Journal of Networks,2014,9(3):799-806.
APA Shen H,&Zhu YL.(2014).Adaptive bacterial foraging optimization algorithm based on social foraging strategy.Journal of Networks,9(3),799-806.
MLA Shen H,et al."Adaptive bacterial foraging optimization algorithm based on social foraging strategy".Journal of Networks 9.3(2014):799-806.
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