Research for New Modified Adaptive Genetic Algorithm

被引:0
作者
Xu Hai Yan [1 ]
机构
[1] LinYi Univ, Linyi, Peoples R China
来源
2012 WORLD AUTOMATION CONGRESS (WAC) | 2012年
关键词
Genetic Algorithm; Crossover; Mutation; Convergence rate; Stability;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Genetic Algorithm is one kind of probability searching algorithm of simulating nature organic evolution. As a result of the characteristics which is none of space restrictive supposition restraint and strong robustness, it has obtained the widespread application in many domains at present. However, the simple Genetic Algorithm has the problems of the precocious phenomena, the slow rate of gathering and poor stability. To these problems, a new modified adaptive genetic algorithm is brought. It made the improvements in the initial community production and heredity operation, and the simulation experiment shows that this algorithm had the distinct improvement in the restraining rapidity and the stability.
引用
收藏
页数:4
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