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	Fitness sharing genetic algorithm with self-adaptive annealing peaks radii control method
	Yu, XJ
	2010-05-10 ; 2010-05-10
会议名称	ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS ; 1st International Conference on Natural Computation (ICNC 2005) ; Changsha, PEOPLES R CHINA ; Web of Science ; INSPEC
关键词	Computer Science, Theory & Methods
中文摘要	Fitness sharing genetic algorithm is one of the most common used methods to deal with multimodal optimization problems. The algorithm requires peaks radii as the predefined parameter. It is very difficult to guess peaks radii for designers and decision makers in the real world applications. A novel self-adaptive annealing peaks radii control method has been suggested in this paper to deal with the problem. Peaks radii are coded into chromosomes and evolved while fitness sharing genetic algorithm optimizes the problem. The empirical results tested on the benchmark problems show that fitness sharing genetic algorithm with self-adaptive annealing peaks radii control method can find and maintain nearly all peaks steadily, This method is especially suitable for. the problems whose peaks radii are difficult to estimate beforehand.
会议录出版者	SPRINGER-VERLAG BERLIN ; BERLIN ; HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/18611]
专题	清华大学
推荐引用方式 GB/T 7714	Yu, XJ. Fitness sharing genetic algorithm with self-adaptive annealing peaks radii control method[C]. 见:ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS, 1st International Conference on Natural Computation (ICNC 2005), Changsha, PEOPLES R CHINA, Web of Science, INSPEC.

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