中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Cooperative Approaches to Bacterial Foraging Optimization

文献类型:会议论文

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)
出版日期2008
会议名称4th International Conference on Intelligent Computing
会议日期September 15-18, 2008
会议地点Shanghai, China
关键词Bacterial Foraging Optimization Cooperative Bacterial Foraging Optimization Implicit space decomposition Explicit space decomposition
页码541-548
中文摘要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.
收录类别EI ; CPCI(ISTP)
产权排序1
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
语种英语
ISSN号0302-9743
ISBN号978-3-540-85983-3
WOS记录号WOS:000260436000065
源URL[http://ir.sia.cn/handle/173321/8166]  
专题沈阳自动化研究所_工业信息学研究室_先进制造技术研究室
推荐引用方式
GB/T 7714
Chen HN,Zhu YL,Hu KY,et al. Cooperative Approaches to Bacterial Foraging Optimization[C]. 见:4th International Conference on Intelligent Computing. Shanghai, China. September 15-18, 2008.

入库方式: OAI收割

来源:沈阳自动化研究所

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