DocumentCode
1646201
Title
An Improved Population-Based Incremental Learning Algorithm
Author
Qingbin, Zhang ; Tihua, Wu ; Bo, Liu
Author_Institution
Yanshan Univ., Qinhuangdao
fYear
2007
Firstpage
741
Lastpage
744
Abstract
The population-based incremental learning (PBIL) is a novel evolutionary algorithm combined the mechanisms of the Genetic Algorithms with competitive learning. In this paper, an elitism-based PBIL algorithm which learns the selected best solutions in current population and the optimal solution found so far in the algorithm at same time is proposed. Experimental results show that the proposed algorithm out-performs the standard PBIL.
Keywords
genetic algorithms; learning (artificial intelligence); evolutionary algorithm; genetic algorithms; population-based incremental learning algorithm; Evolutionary computation; Genetic algorithms; Elitist strategy; Estimation of Distribution Algorithms; Population-Based Incremental Learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2007. CCC 2007. Chinese
Conference_Location
Hunan
Print_ISBN
978-7-81124-055-9
Electronic_ISBN
978-7-900719-22-5
Type
conf
DOI
10.1109/CHICC.2006.4347126
Filename
4347126
Link To Document