Estimation of distribution algorithm based on copula theory

doi:10.1109/CEC.2009.4983063

CORC > 兰州理工大学 > 兰州理工大学

	Estimation of distribution algorithm based on copula theory
	Wang, Li-Fang 2; Zeng, Jian-Chao 2; Hong, Yi 1
	2009
会议日期	May 18, 2009 - May 21, 2009
会议地点	Trondheim, Norway
关键词	Calculations Computation theory Evolutionary algorithms Complex problems Estimation of distribution algorithm (EDA) Estimation of distribution algorithms Evolutionary search Joint probability Learning efficiency Potential techniques Sampling mechanisms
DOI	10.1109/CEC.2009.4983063
页码	1057-1063
英文摘要	Estimation of Distribution Algorithm (EDA) is a novel evolutionary computation, which mainly depends on learning and sampling mechanisms to manipulate the evolutionary search, and has been proved a potential technique for complex problems. However, EDA generally spend too much time on the learning about the probability distribution of the promising individuals. The paper propose an improved EDA based on copula theory (copula-EDA) to enhance the learning efficiency, which models and samples the joint probability function by selecting a proper copula and learning the marginal probability distributions of the promising population. The simulating results prove the approach is easy to implement and is validated on several problems. © 2009 IEEE.
会议录	2009 IEEE Congress on Evolutionary Computation, CEC 2009
会议录出版者	IEEE Computer Society
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
资助项目	ShanXi province[2006021019]
WOS研究方向	Computer Science ; Engineering
WOS记录号	WOS:000274803100141
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117061]
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	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China 2.Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligence Lab, Taiyuan 030024, 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 copula theory[C]. 见:. Trondheim, Norway. May 18, 2009 - May 21, 2009.