%0 Journal Article
%T A Constrained Evolutionary Algorithm Based on Hybrid Crossovers and Intermittent Mutation<br>基于混合杂交与间歇变异的约束优化演化算法
%A ZHOU Yong-Hua MAO Zong-Yuan
%A <br>周永华
%A 毛宗源
%J 计算机科学
%D 2003
%I 
%X 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.
%K Constrained optimization
%K Evolutionary algorithms
%K Hybrid crossovers
%K Intermittent mutation<br>约束优化演化算法
%K 遗传算法
%K 混合杂交
%K 间歇变异
%K 杂交算子
%K 直接比较法
%K 目标函数
%K 违约函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=B928F7585D510A80&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=9CF7A0430CBB2DFD&sid=6209D9E8050195F5&eid=16D8618C6164A3ED&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=5