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	Estimation of Distribution Algorithms based on Nested Archimedean Copulas
	Wang, Xiaoping2,3; Gao, Huimin; Zeng, Jianchao1,4; Ye, Baolin1
	2011
关键词	EDAs Nested Archimedean copulas High dimension Joint distribution
卷号	15
DOI	10.1016/j.proeng.2011.08.300
英文摘要	The main hurdle for EDAs is how to estimate and sample the joint probability distribution, especially in d-dimensiona case (d>2). Copula theory provides a useful tool for multivariate probability analysis, which separates joint probability distribution function into product of marginal distributions. We introduce a new paradigm, called Ncopula-EDAs, which integrates EDAs with nested Archimedean copulas, and indicates an innovative way to solve the multivariate and multiple dependences optimization problem. The case of three-dimensional problem is studied in detail. The sampling method of three-dimensional Nested Archimedean copula is illustrated, and the procedure of three-dimensional Ncopula-EDAs is described. The experiment results validate the feasibility and efficiency of our algorithm. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
会议录出版者	ELSEVIER SCIENCE BV
会议录出版地	SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
语种	英语
WOS研究方向	Automation & Control Systems
WOS记录号	WOS:000300876501125
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37597]
专题	兰州理工大学 电气工程与信息工程学院
作者单位	1.Taiyuan Univ Sci Technol, Complex Syst & Computat Intelligence Lab, Taiyuan, Peoples R China 2.Jiaxing Univ, Mech & Elect Engn Coll, Jiaxing 314001, Zhejiang, Peoples R China; 3.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou, Peoples R China; 4.Jiaxing Univ, Mech & Elect Engn Coll, Jiaxing 314001, Zhejing, Peoples R China;
推荐引用方式 GB/T 7714	Wang, Xiaoping,Gao, Huimin,Zeng, Jianchao,et al. Estimation of Distribution Algorithms based on Nested Archimedean Copulas[C]. 见:.

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