DocumentCode
424219
Title
An improved real-code genetic algorithm
Author
Xiong, Wei-qing ; Zhang, You-Peng ; Wei, Ping
Author_Institution
Sch. of Inf. Sci. & Eng., Ningbo Univ., China
Volume
4
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
2361
Abstract
An improved real-code genetic algorithm is designed with different crossover and mutation aiming at its inherent premature convergence and leak mountain climbing while function optimizing. Crossover operators, that chooses the different sex and parent, adds mutation on a small scale in the mutation operator. The experiment have shown the satisfactory effects.
Keywords
codes; convergence; genetic algorithms; genetics; crossover operator; function optimization; mutation operator; premature convergence; real-code genetic algorithm; Algorithm design and analysis; Binary codes; Biological cells; Biological system modeling; Computational biology; Convergence; Evolution (biology); Genetic algorithms; Genetic mutations; Information science;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1382195
Filename
1382195
Link To Document