DocumentCode
1987579
Title
A study on the optimal population size of genetic algorithm
Author
Li, Dawei ; Wang, Li
Author_Institution
Dept. of Math. & Phys., Anshan Inst. of Iron & Steel Technol., China
Volume
4
fYear
2002
fDate
2002
Firstpage
3019
Abstract
The optimal population size of genetic algorithm is studied, based on the defined partial function. The inner relations between the optimal population size and the code length are obtained using the difference equation to solve discrete optimization problems when binary and natural number codes are used in genetic algorithm operations. The results obtained are useful for genetic algorithms in solving practical problems.
Keywords
difference equations; genetic algorithms; optimisation; code length; difference equation; discrete optimization; genetic algorithm; optimal population size; population size; Automation; Difference equations; Genetic algorithms; Guidelines; Intelligent control; Iron; Mathematics; Physics; Steel;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1020082
Filename
1020082
Link To Document