摘要
利用遗传算法和非光滑算法给出带界约束条件Min-max问题的一个混合算法,这种方法综合了2种方法的优点,从数值算例可以看出算法的有效性.
Based on the genetic algorithm and non-smooth algorithm, put forward the hybridize genetic and non-smooth algorithm of min-max problem under limited and constrained conditions, the algorithm synthesizes the advantage of two algorithms. The numeric examples prove the validity of the hybridize algorithm.
出处
《高师理科学刊》
2009年第2期39-41,44,共4页
Journal of Science of Teachers＇College and University
关键词
极小极大
约束条件
非光滑算法
遗传算法
min-maxproblem
constrained condition
non-smoothalgorithm
genetic algorithm
