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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382195
