摘要
为了提高遗传算法的局部搜索能力并改善其收敛性能,根据遗传算法和单纯形算法的特点,提出了一种新的混合遗传算法。数值实验表明:该算法的收敛性能、在线性能和离线性能均优于原遗传算法。
In order to raise the ability of genetic algorithm to local search and improve its convergence property, a new hybridized genetic algorithm is presented. The numerical experiments show that this algorithm has great advantage of convergence property, online and offline programming over the original genetic algorithm.
出处
《工程数学学报》
CSCD
北大核心
2003年第4期54-58,共5页
Chinese Journal of Engineering Mathematics
关键词
遗传算法
单纯形算法
局部搜索
收敛性能
genetic algorithm
simplex algorithm
local search
convergence property
