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题名: Improved bacterial foraging optimization with social cooperation and adaptive step size
作者: Yan XH(晏晓辉) ; Zhu YL(朱云龙) ; Chen HN(陈瀚宁) ; Zhang H(张浩)
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 Intelligent Computing Technology, 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: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者: Springer Verlag
会议录出版地: Heidelberg, Germany
出版日期: 2012
页码: 634-640
收录类别: EI
ISSN号: 0302-9743
ISBN号: 978-3642315879
关键词: Algorithms ; Biochemistry ; Intelligent computing
摘要: This paper proposed an Improved Bacterial Foraging Optimization (IBFO) algorithm to enhance the optimization ability of original Bacterial Foraging Optimization. In the new algorithm, Social cooperation is introduced to guide the bacteria tumbling towards better directions. Meanwhile, adaptive step size is employed in chemotaxis process. The new algorithm is tested on a set of benchmark functions. Canonical BFO, Particle Swarm Optimization and Genetic Algorithm are employed for comparison. Experiment results show that the IBFO algorithm offers significant improvements over the original BFO algorithm and is a competitive optimizer for numerical optimization. © 2012 Springer-Verlag.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/9883
Appears in Collections:信息服务与智能控制技术研究室_会议论文

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Recommended Citation:
晏晓辉; 朱云龙; 陈翰宁; 张浩.Improved bacterial foraging optimization with social cooperation and adaptive step size.见:Springer Verlag .Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),Heidelberg, Germany,2012,634-640
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