基于混合杂交与间歇变异的约束优化演化算法  

A Constrained Evolutionary Algorithm Based on Hybrid Crossovers and Intermittent Mutation

作　　者：周永华[1] 毛宗源[1] 

机构地区：[1]华南理工大学自动化科学与工程学院,广州510640

出　　处：《计算机科学》2003年第9期35-38,共4页Computer Science

基　　金：广东省自然科学基金(011626)

摘　　要：1引言 许多实际的优化问题带有不等式和/或等式约束,这类问题一般可以描述为如下的形式:In solving constrained optimization problems with genetic algorithms, more emphases are laid on handling constraints than increasing the search capability of algorithms, which often leed to unsatisfied results as reported in most literatures. This paper proposes a new evolutionary algorithm for constrained optimization, emphasizing more on increasing the search capability of the algorithm by means of hybrid crossovers and intermittent mutation while adopting a simple constraint handling technique called direct comparison. Numerical experiments and comparisons show the effectiveness of the proposed algorithm.

关 键 词：约束优化演化算法 遗传算法 混合杂交 间歇变异 杂交算子 直接比较法 目标函数 违约函数 

分 类 号：O242.23[理学—计算数学]