Estimation of Distribution Algorithm Based on Archimedean Copulas

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	Estimation of Distribution Algorithm Based on Archimedean Copulas
	Wang, Li-Fang; Zeng, Jian-Chao; Hong, Yi
	2009
关键词	Estimation of distribution algorithms (EDAs) Copula Theory Archimedean copulas Sklar's theorem
页码	993-996
英文摘要	Both Estimation of Distribution Algorithms (EDAs) and Copula Theory are hot topics in different research domains. The key of EDAs is modeling and sampling the probability distribution function which need much time in the available algorithms. Moreover, the modeled probability distribution function can not reflect the correct relationship between variables of the optimization target. Copula Theory provides a correlation between univariable marginal distribution functions and the joint probability distribution function. Therefore, Copula Theory could be used in EDAs. Because Archimedean copulas possess many nice properties, an EDA based on Archimedean copulas is presented in this paper. The experimental results show the effectiveness of the proposed algorithm.
会议录	WORLD SUMMIT ON GENETIC AND EVOLUTIONARY COMPUTATION (GEC 09)
会议录出版者	ASSOC COMPUTING MACHINERY
会议录出版地	1515 BROADWAY, NEW YORK, NY 10036-9998 USA
语种	英语
WOS研究方向	Computer Science
WOS记录号	WOS:000282382900157
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37854]
专题	兰州理工大学电气工程与信息工程学院
通讯作者	Wang, Li-Fang
作者单位	Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Wang, Li-Fang,Zeng, Jian-Chao,Hong, Yi. Estimation of Distribution Algorithm Based on Archimedean Copulas[C]. 见:.