计算机工程与应用2012，Vol.48Issue(21)：5-8,57,5.DOI:10.3778/j.issn.1002-8331.2012.21.002
一种改进的多目标约束优化差分进化算法
Improved multi-objective constrained optimization differential evolution algorithm
摘要
Abstract
A novel multi-objective optimization differential evolution algorithm is proposed for solving constrained optimization problems. In the process of population evolution, the individuals generation based on good-point-set method is introduced into the evolutionary algorithm initial step. The constrained optimization problem is converted into a multi-objective optimization problem. The population is divided into Non-Pareto set and Pareto set based on multi-objective optimization technique. In order to improve global convergence of the proposed algorithm, DE/best/1 mutation scheme and DE/rand/1 mutation scheme are used to the Non-Pareto set and the Pareto set respectively. The experimental results show that the proposed algorithm can get high performance while dealing with various complex problems.关键词
约束优化问题/差分进化算法/多目标优化/佳点集Key words
constrained optimization problems/ differential evolution algorithm/ multi-objective optimization/分类
信息技术与安全科学引用本文复制引用
龙文..一种改进的多目标约束优化差分进化算法[J].计算机工程与应用,2012,48(21):5-8,57,5.基金项目
国家自然科学基金(No.61074069) （No.61074069）
贵州财经学院引进人才科研项目. （）
