计算机工程与应用2009，Vol.45Issue(32)：41-44,4.DOI:10.3778/j.issn.1002-8331.2009.32.013
改进差分进化策略在多峰值函数优化中的应用
Improved differential evolution strategy optimization algorithm for multiple hump functions
摘要
Abstract
Against to the finite about differential evolution algorithm and evolution strategy,this paper brings the simulated evolutionary operator into the differential evolution algorithm,it can help enhance global search in prophase and partial search at later period when evolving.Based on the normal evolution strategy adding the differential mutation operator in it,a new Bi-mutation differential evolution strategy algorithm is proposed.From the following examples,it can be seen that the result of the multiple hump function is very accurate and the convergence speed is fast.关键词
退火因子/差分演化算法/进化策略/双重变异Key words
anneal operator/ differential evolution algorithm /evolution strategy /Bi-mutation分类
信息技术与安全科学引用本文复制引用
夏慧明,周永权..改进差分进化策略在多峰值函数优化中的应用[J].计算机工程与应用,2009,45(32):41-44,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60861001) （the National Natural Science Foundation of China under Grant No.60861001）
广西自然科学基金(the Natural Science Foundation of Guangxi of China under Grant No.0542048) （the Natural Science Foundation of Guangxi of China under Grant No.0542048）
广西研究生教育创新计划资助项目(No.2007106080701M18). （No.2007106080701M18）
