Title :
An Improved Population-Based Incremental Learning Algorithm
Author :
Qingbin, Zhang ; Tihua, Wu ; Bo, Liu
Author_Institution :
Yanshan Univ., Qinhuangdao
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;
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
DOI :
10.1109/CHICC.2006.4347126
