Title :
Improved crossover strategy of genetic algorithms and analysis of its performance
Author :
Runqiang, Bian ; Zengqiang, Chen ; Zhuzhi, Yuan
Author_Institution :
Tianjin Inst. of Technol., China
Abstract :
In this paper, the premature convergence problem of genetic algorithms is analyzed from a point of view of the crossover efficiency, and a new crossover strategy is proposed to make the crossover more efficient. The strategy is effective in preventing incest and overcoming the premature convergence
Keywords :
convergence of numerical methods; genetic algorithms; crossover efficiency; genetic algorithms; incest; premature convergence; Algorithm design and analysis; Convergence; Genetic algorithms; Partial response channels; Performance analysis;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.860021
