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Improved bacterial foraging optimization with social cooperation and adaptive step size
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
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版者Springer Verlag
出版地Heidelberg, Germany
2012
页码634-640
收录类别EI
EI收录号20123515376063
产权排序1
ISSN号0302-9743
ISBN号978-3-642-31587-9
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.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/9883
专题信息服务与智能控制技术研究室
作者单位1.Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, 110016, Shenyang, China
2.Graduate School, Chinese Academy of Sciences, 100039, Beijing, China
推荐引用方式
GB/T 7714
Yan XH,Zhu YL,Chen HN,et al. Improved bacterial foraging optimization with social cooperation and adaptive step size[C]//IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China. Heidelberg, Germany:Springer Verlag,2012:634-640.
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