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题名: Adaptive bacterial foraging optimization algorithm based on social foraging strategy
作者: 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
刊名: Journal of Networks
ISSN号: 1796-2056
出版日期: 2014
卷号: 9, 期号:3, 页码:799-806
收录类别: EI
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
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/14741
Appears in Collections:信息服务与智能控制技术研究室_期刊论文

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申海; 朱云龙.Adaptive bacterial foraging optimization algorithm based on social foraging strategy,Journal of Networks,2014,9(3):799-806
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