期刊论文

Genetic Algorithm with Local Search Strategy

中文

湖南城市学院学报(自然科学版)

1672-7304

2009

18

4

52-54

10.3969/j.issn.1672-7304.2009.04.014

湖南省教育厅科研基金资助项目（08C198）； 益阳市科技计划资助项目（08YK12）；

本校为其他机构

提出了一种局部搜索策略的遗传算法(LSGA),它是在每一代中通过遗传算法找到最佳个体,然后在最佳个体的附近进行局部搜索.6个基本的多峰测试函数优化结果表明:LSGA比具有精英保留选择机制的实数编码的遗传算法(RGA)的全局搜索能力强.

Genetic Algorithm with local search strategy （LSGA） was proposed, which uses Gentic Algorithm to find the best individual each generation, and local search is executed nearby the best individual. Experiment results on six multi-modal benchmark functions show that the ability of finding optimal solution and convergence speed a using CLSDE were better than using Real-Coded Ge...