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
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;
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
DOI :
10.1109/CCPR.2010.5659237