DocumentCode
3457837
Title
The Effect of Genetic Operators on Evolution Ability of Population
Author
Fan, Qingwu ; Liu, Xudong ; Wang, Pu ; Gao, Xuejin
Author_Institution
Pilot Coll., Beijing Univ. of Technol., Beijing, China
fYear
2010
fDate
21-23 Oct. 2010
Firstpage
1
Lastpage
5
Abstract
This paper presents the concept of evolution ability of population and discusses the ability of finding the optimal solution for the population after one-generation selection, crossover and mutation. Based on the analysis of effect of selection, crossover and mutation on evolution ability of population, this paper presents some important conclusions. These conclusions above do not only help improve the GA, but also provide the basis for later research work.
Keywords
genetic algorithms; mathematical operators; set theory; crossover; genetic algorithm; genetic operator; mutation; population evolution ability; Convergence; Copper; Cybernetics; Electronic mail; Genetics; Markov processes; Mathematical model;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-7209-3
Electronic_ISBN
978-1-4244-7210-9
Type
conf
DOI
10.1109/CCPR.2010.5659237
Filename
5659237
Link To Document