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题名: Cooperative Approaches to Bacterial Foraging Optimization
作者: Chen HN(陈瀚宁) ; Zhu YL(朱云龙) ; Hu KY(胡琨元) ; He XX(何小贤) ; Niu B(牛奔)
作者部门: 先进制造技术实验室
会议名称: 4th International Conference on Intelligent Computing
会议日期: September 15-18, 2008
会议地点: Shanghai, China
会议录: ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS - WITH ASPECTS OF ARTIFICIAL INTELLIGENCE
会议录出版者: SPRINGER-VERLAG
会议录出版地: BERLIN
出版日期: 2008
页码: 541-548
收录类别: CPCI(ISTP)
ISSN号: 0302-9743
ISBN号: 978-3-540-85983-3
关键词: Bacterial Foraging Optimization ; Cooperative Bacterial Foraging Optimization ; Implicit space decomposition ; Explicit space decomposition
摘要: Bacterial Foraging Optimization (BFO) is a novel optimization algorithm based on the foraging behavior of E. coli bacteria. This paper presents a variation on the original BFO algorithm, called Cooperative Bacterial Foraging Optimization (CBFO), which significantly improve the convergence speed, accuracy and robustness of original BFO in solving complex optimization problems. This is achieved by applying two cooperative approaches to the BFO, namely the serial heterogeneous cooperation on the implicit space decomposition level and the serial heterogeneous cooperation on the hybrid space decomposition level. Four widely-used benchmark functions have been implemented to test the proposed algorithm, and the results show remarked improvement in performance over the original BFO.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8166
Appears in Collections:工业信息学研究室_先进制造技术研究室_会议论文

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Recommended Citation:
陈翰宁; 朱云龙; 胡琨元; 何小贤; 牛奔.Cooperative Approaches to Bacterial Foraging Optimization.见:SPRINGER-VERLAG.ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS - WITH ASPECTS OF ARTIFICIAL INTELLIGENCE ,BERLIN,2008,541-548
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