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题名: Bacterial colony foraging optimization
作者: Chen HN(陈瀚宁) ; Niu B(牛奔) ; Ma LB(马连博) ; Su WX(苏卫星) ; 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: Biochemistry ; Optimization
刊名: Neurocomputing
ISSN号: 0925-2312
出版日期: 2014
卷号: 137, 页码:268–284
收录类别: SCI ; EI
产权排序: 1
摘要: This paper proposes a novel bacterial colony foraging (BCF) algorithm for complex optimization problems. The proposed BCF extend original bacterial foraging algorithm to adaptive and cooperative mode by combining bacterial chemotaxis, cell-to-cell communication, and a self-adaptive foraging strategy. The cell-to-cell communication enables the historical search experience sharing among the bacterial colony that can significantly improve convergence. With the self-adaptive strategy, each bacterium can be characterized by focused and deeper exploitation of the promising regions and wider exploration of other regions of the search space. A rigorous performance analysis is given where the proposed algorithm is benchmarked against four state-of-the-art reference algorithms using both a classical and a composition test function suites. The individual and collective bacterial foraging behaviors of the proposed algorithmic model are also studied. Statistical analysis of all these tests highlights the significant performance improvement due to the beneficial combination and shows that the proposed algorithm outperforms the reference algorithms.
WOS记录号: WOS:000336474400033
WOS标题词: Science & Technology ; Technology
类目[WOS]: Computer Science, Artificial Intelligence
关键词[WOS]: SEARCH ; ALGORITHM
研究领域[WOS]: Computer Science
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/14670
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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