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	Histogram-based estimation of distribution algorithm: A competent method for continuous optimization
	Ding, Nan ; Zhou, Shu-De ; Sun, Zeng-Qi
	2010-05-06 ; 2010-05-06
关键词	evolutionary algorithm estimation of distribution algorithm histogram probabilistic model surrounding effect shrinking strategy Computer Science, Hardware & Architecture Computer Science, Software Engineering
中文摘要	Designing efficient estimation of distribution algorithms for optimizing complex continuous problems is still a challenging task. This paper utilizes histogram probabilistic model to describe the distribution of population and to generate promising solutions. The advantage of histogram model, its intrinsic multimodality, makes it proper to describe the solution distribution of complex and multimodal continuous problems. To make histogram model more efficiently explore and exploit the search space, several strategies are brought into the algorithms: the surrounding effect reduces the population size in estimating the model with a certain number of the bins and the shrinking strategy guarantees the accuracy of optimal solutions. Furthermore, this paper shows that histogram-based EDA (Estimation of distribution algorithm) can give comparable or even much better performance than those predominant EDAs based on Gaussian models.
语种	英语 ; 英语
出版者	SCIENCE CHINA PRESS ; BEIJING ; 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/10920]
专题	清华大学
推荐引用方式 GB/T 7714	Ding, Nan,Zhou, Shu-De,Sun, Zeng-Qi. Histogram-based estimation of distribution algorithm: A competent method for continuous optimization[J],2010, 2010.
APA	Ding, Nan,Zhou, Shu-De,&Sun, Zeng-Qi.(2010).Histogram-based estimation of distribution algorithm: A competent method for continuous optimization..
MLA	Ding, Nan,et al."Histogram-based estimation of distribution algorithm: A competent method for continuous optimization".(2010).

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