中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive bacterial foraging optimization algorithm based on social foraging strategy

文献类型:期刊论文

作者Shen H(申海); Zhu YL(朱云龙)
刊名Journal of Networks
出版日期2014
卷号9期号:3页码:799-806
关键词Bacterial Foraging Optimization Algorithm Social Foraging Multimodal Numerical Optimization
ISSN号1796-2056
产权排序2
中文摘要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.
收录类别EI
语种英语
源URL[http://ir.sia.cn/handle/173321/14741]  
专题沈阳自动化研究所_信息服务与智能控制技术研究室
推荐引用方式
GB/T 7714
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.

入库方式: OAI收割

来源:沈阳自动化研究所

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