计算机应用研究2013，Vol.30Issue(2)：367-370,4.DOI:10.3969/j.issn.1001-3695.2013.02.012
一种新的约束优化遗传算法及其工程应用
Novel constrained optimization genetic algorithm and its engineering applications
摘要
Abstract
This paper proposed a novel genetic algorithm to solve constrained optimization problems. It introduced the individual generation based on good-point-set method into the genetic algorithm initial step, which maintained the population diversity of the genetic algorithm. In the evolution process, it searched the decision space of a problem through the arithmetic crossover operator of feasible and infeasible solutions. In order to coordinate the exploitation and the exploration ability of the algorithm, it used Gaussian and Cauchy mutation operators to the feasible and infeasible subpopulation respectively. It tested several benchmark problems and two engineering design problems. The results show that the proposed method is an effective way for constrained optimization problems.关键词
约束优化问题/遗传算法/算术交叉/变异Key words
constrained optimization problem/ genetic algorithm/ arithmetic crossover/ mutation分类
信息技术与安全科学引用本文复制引用
吴华伟,陈特放,黄伟明,许炳,胡春凯..一种新的约束优化遗传算法及其工程应用[J].计算机应用研究,2013,30(2):367-370,4.基金项目
国家"863"计划资助项目(2009AA034302) （2009AA034302）
