A New Evolutionary Algorithm for Function Optimization

被引：42
|
作者：
GUO Tao
机构：
来源：
Wuhan University Journal of Natural Sciences | 1999年 / 04期
关键词：
evolutionary algorithm; function optimization problem; inequality constraints;
D O I：
暂无
中图分类号：
TP301.6 [算法理论];
学科分类号：
081202 ;
摘要：
A new algorithm based on genetic algorithm(GA) is developed for solving function optimization problems with inequality constraints. This algorithm has been used to a series of standard test problems and exhibited good performance. The computation results show that its generality, precision, robustness, simplicity and performance are all satisfactory.
引用
收藏
页码：409 / 414
页数：6
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