摘要
针对一种新兴的进化算法——差分进化算法,介绍了该算法的基本原理、算法流程和控制参数选择,然后利用差分进化算法求解了多元函数的极值问题。差分进化算法具有随机选取初始值的优点,数值实验结果表明了该方法的正确性和有效性。
Aimed at a recently developed evolution algorithm, differential evolution algorithm,the principle,process and parameters of differential evolution algorithm are introduced and analyzed systematically,then differential evolution algorithm is established for extremum problems of multivariate function.This method has advantage of choosing initial point randomly;the reliability and efficiency of this algorithm are demonstrated by some numerical experiments.
出处
《科学技术与工程》
2009年第22期6673-6676,共4页
Science Technology and Engineering
关键词
差分进化算法
多元函数的极值
最小值
differential evolution algorithm extremum value of multivariate function minimum value
