| 一种改进的多目标约束优化差分进化算法 |
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| 引用本文： | 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. |
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| 作者姓名： | 龙文 |
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| 作者单位： | 贵州财经学院贵州省经济系统仿真重点实验室,贵阳550004;贵州财经学院数学与统计学院,贵阳550004 |
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| 基金项目： | 国家自然科学基金(No.61074069);贵州财经学院引进人才科研项目 |
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| 摘 要： | 提出一种新的多目标优化差分进化算法用于求解约束优化问题.该算法利用佳点集方法初始化个体以维持种群的多样性.将约束优化问题转化为两个目标的多目标优化问题.基于Pareto支配关系,将种群分为Pareto子集和Non-Pareto子集,结合差分进化算法两种不同变异策略的特点,对Non-Pareto子集和Pareto子集分别采用DE/best/1变异策略和DE/rand/1变异策略.数值实验结果表明该算法具有较好的寻优效果.
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| 关 键 词： | 约束优化问题 差分进化算法 多目标优化 佳点集 |
Improved multi-objective constrained optimization differential evolution algorithm |
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| LONG Wen.Improved multi-objective constrained optimization differential evolution algorithm[J].Computer Engineering and Applications,2012,48(21):5-8,57. |
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| Authors: | LONG Wen |
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| Affiliation: | LONG Wen1.Key Lab of Economics System Simulation,Guizhou University of Finance and Economics,Guiyang 550004,China 2.School of Mathematics and Statistics,Guizhou University of Finance and Economics,Guiyang 550004,China |
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| 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. |
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| Keywords: | constrained optimization problems differential evolution algorithm multi-objective optimization good-point-set |
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