摘要
在已有的研究工作基础上,给出了一种改进的最优保存遗传算法,研究了算法的全局收敛性和收敛速度,并给出了收敛性证明.数值实验表明,该算法能够有效的求解全局优化问题.
Based on the research productions existed,this paper describes the global convergence properties and the rate of convergence of Elitist preserved genetic algorithm(EGA), suggest a new approach called IGABP(improvement of genetic algorithm with best elitist preserved method).Numerical results illustrate that this algorithm can solve the function optimization problem efficiently.
出处
《小型微型计算机系统》
CSCD
北大核心
2005年第5期833-835,共3页
Journal of Chinese Computer Systems
基金
国家科技部"九七三"前期专项 (2 0 0 1CCA0 0 70 0 )资助
关键词
遗传算法
最优保存
全局收敛性
genetic algorithm
elitist preserved
global convergence properties
