Cooperative Bacterial Foraging Algorithm for Global Optimization

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	Cooperative Bacterial Foraging Algorithm for Global Optimization
	Chen HN(陈瀚宁); Zhu YL(朱云龙); Hu KY(胡琨元)
	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
内容类型	会议论文
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.