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 :
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