DocumentCode
498783
Title
The impact of population size on the performance of GA
Author
Zhang, Gu-li ; Liu, Xiao-xia ; Zhang, Tong
Author_Institution
Dept. of Math. & Phys., North China Electr. Power Univ., Baoding, China
Volume
4
fYear
2009
fDate
12-15 July 2009
Firstpage
1866
Lastpage
1870
Abstract
The population size is fixed in the traditional genetic algorithm, and nobody knows how much the population size should be taken. In addition, the research on population size is a few. This paper studies mainly population size how to impact on convergence rate, convergence time and global search capability of the genetic algorithm for the typical benchmark functions, and furthermore propose a criterion to evaluate the performance of genetic algorithm. Finally gives some useful conclusions.
Keywords
convergence; genetic algorithms; search problems; genetic algorithm; population size; search capability; typical benchmark function; Algorithm design and analysis; Convergence; Cybernetics; Genetic algorithms; Genetic mutations; Iterative algorithms; Machine learning; Mathematics; Performance analysis; Physics; Convergence rate; Convergence time; Genetic algorithm; Global search capability; Population size;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212113
Filename
5212113
Link To Document