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一类约束优化问题的改进遗传算法
引用本文:樊重俊,韩崇昭.一类约束优化问题的改进遗传算法[J].控制与决策,1996,11(5):609-612.
作者姓名:樊重俊  韩崇昭
作者单位:[1]上海交通大学 [2]西安交通大学
摘    要:遗传算法是一种解决非线性无约束优化问题的搜索算法,对于约束优化问题通常采用罚函数法;所提出了的改进算法很好地解决了一类带有凸约束的非红性优化问题。数值结果说明该方法效果较好。

关 键 词:遗传算法  非线性优化  搜索算法  约束优化

Modified Genetic Algorithm and Its Applications in Optimization Problems with Constraints
Fan Chongjun,Han Chongzhao,Hu Baosheng, Wang Jie.Modified Genetic Algorithm and Its Applications in Optimization Problems with Constraints[J].Control and Decision,1996,11(5):609-612.
Authors:Fan Chongjun  Han Chongzhao  Hu Baosheng  Wang Jie
Affiliation:Fan Chongjun;Han Chongzhao;Hu Baosheng; Wang Jie(Shanghai Jiaotong University)(Xi' an Jiaotong University)
Abstract:Genetic algorithm(GA)is used for solving unconstrained optimization problems. Constraints may be handled indirectly through penalty functions. In this paper, a modified GA by a direct way to incorporate one kind of convex constraints is proposed.The fitness, crossover and mutation are designed especially for handling constraints. Numerical resultes show the algorithm is effective.
Keywords:genetic algorithm  optimization  decision support system
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