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Optimization based on bacterial colony foraging
Liu W(刘微); Zhu YL(朱云龙); Niu B(牛奔); Chen HN(陈瀚宁)
作者部门信息服务与智能控制技术研究室
会议名称8th International Conference on Emerging Intelligent Computing Technology and Applications, ICIC 2012
会议日期July 25, 2012 - July 29, 2012
会议地点Huangshan, China
会议主办者IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China
会议录名称Communications in Computer and Information Science
出版者Springer Verlag
出版地Heidelberg, Germany
2012
页码489-494
收录类别EI ; CPCI(ISTP)
EI收录号20123415354521
WOS记录号WOS:000310938000071
产权排序1
ISSN号1865-0929
ISBN号978-3-642-31836-8
关键词Algorithms Biochemistry Intelligent Computing
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. In the experiments, the proposed algorithm is benchmarked against four state-of-the-art reference algorithms using a set of classical test functions. © 2012 Springer-Verlag.
语种英语
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/9888
专题信息服务与智能控制技术研究室
作者单位1.Laboratory of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Liaoning, Shenyang, 110016, China
2.Jilin Normal University, Jilin, Siping, 136000, China
3.College of Management, Shenzhen University, Shenzhen, 518060, China
推荐引用方式
GB/T 7714
Liu W,Zhu YL,Niu B,et al. Optimization based on bacterial colony foraging[C]//IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China. Heidelberg, Germany:Springer Verlag,2012:489-494.
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