Estimation of distribution algorithm based on copula theory

doi:10.1109/CEC.2009.4983063

	Estimation of distribution algorithm based on copula theory
	Wang, Li-Fang 1; Zeng, Jian-Chao 1; Hong, Yi 2
	2009
会议名称	2009 IEEE Congress on Evolutionary Computation, CEC 2009
会议录名称	2009 IEEE Congress on Evolutionary Computation, CEC 2009
页码	1057-1063
会议日期	May 18, 2009 - May 21, 2009
会议地点	Trondheim, Norway
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
出版者	IEEE Computer Society
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.
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
收录类别	EI
资助项目	ShanXi province[2006021019]
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Engineering, Multidisciplinary
WOS记录号	WOS:000274803100141
EI入藏号	20094812504661
EI主题词	Probability distributions
来源库	Compendex
分类代码	721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 921 Mathematics - 922.1 Probability Theory
引用统计	被引频次：22[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://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.Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligence Lab, Taiyuan 030024, Peoples R China 2.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 copula theory[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE Computer Society,2009:1057-1063.