中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Cooperative Bacterial Foraging Algorithm for Global 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)
出版日期2009
会议名称21st Chinese Control and Decision Conference
会议日期June 17-19, 2009
会议地点Guilin, China
关键词Bacterial Foraging Optimization Cooperative BFO PSO GA
页码3896-3901
通讯作者陈瀚宁
中文摘要Bacterial Foraging Optimization (BFO) is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria. However, the original BFO algorithm possesses a poor convergence behavior compared to the other successful nature-inspired algorithms. In order to accelerate the convergence speed of the bacterial colony near global optima, two cooperative approaches have been applied to BFO that resulted in a significant improvement in the performance of the original algorithm in terms of convergence speed, accuracy and robustness. The performance of the proposed cooperative variants are compared to the original BFO, the standard PSO, and a real-coded GA on a set of 4 widely-used benchmark functions, demonstrating their superiority.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者NE Univ, IEEE Ind Elect Singapore Chapter, Guilin Univ Elect Technol, IEEE Control Syst Soc, IEEE Ind Elect Soc
会议录CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号978-1-4244-2723-9
WOS记录号WOS:000274047201162
源URL[http://ir.sia.cn/handle/173321/8343]  
专题沈阳自动化研究所_工业信息学研究室
推荐引用方式
GB/T 7714
Chen HN,Zhu YL,Hu KY. Cooperative Bacterial Foraging Algorithm for Global Optimization[C]. 见:21st Chinese Control and Decision Conference. Guilin, China. June 17-19, 2009.

入库方式: OAI收割

来源:沈阳自动化研究所

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