| 基于粒子群算法求解多目标优化问题 |
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| 引用本文： | 张利彪,周春光,马铭,刘小华.基于粒子群算法求解多目标优化问题[J].计算机研究与发展,2004,41(7):1286-1291. |
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| 作者姓名： | 张利彪 周春光 马铭 刘小华 |
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| 作者单位： | 吉林大学计算机科学与技术学院,长春,130012 |
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| 基金项目： | 国家自然科学基金项目 ( 60 175 0 2 4)，教育部科学技术研究重点项目 ( 0 2 0 90 )，教育部“符号计算与知识工程”重点实验室项目 |
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| 摘 要： | 粒子群优化算法自提出以来，由于其容易理解、易于实现，所以发展很快，在很多领域得到了应用．通过对粒子群算法全局极值和个体极值选取方式的改进，提出了一种用于求解多目标优化问题的算法，实现了对多目标优化问题的非劣最优解集的搜索，实验结果证明了算法的有效性．
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| 关 键 词： | 粒子群优化算法 多目标优化 非劣最优解 |
Solutions of Multi-Objective Optimization Problems Based on Particle Swarm Optimization |
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| ZHANG Li-Biao,ZHOU Chun-Guang,MA Ming,and LIU Xiao-Hua.Solutions of Multi-Objective Optimization Problems Based on Particle Swarm Optimization[J].Journal of Computer Research and Development,2004,41(7):1286-1291. |
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| Authors: | ZHANG Li-Biao ZHOU Chun-Guang MA Ming and LIU Xiao-Hua |
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| Abstract: | Particle swarm optimization (PSO) algorithm has been developing rapidly and has been applied widely since it was introduced,as it is easily understood and realized. Through the improvement of the option modes of gBest and pBest of PSO algorithm,an optimization algorithm applied to solving multi-objective optimization problems is presented,and the search for Pareto optimal set of multi-objective optimization problems is implemented. The effectiveness of the algorithm is proved by experiments. |
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| Keywords: | particle swarm optimization multi-objective optimization Pareto optimal |
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