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多目标粒子群优化算法研究综述

冯茜 李擎 全威 裴轩墨

冯茜, 李擎, 全威, 裴轩墨. 多目标粒子群优化算法研究综述[J]. 工程科学学报. doi: 10.13374/j.issn2095-9389.2020.10.31.001
引用本文: 冯茜, 李擎, 全威, 裴轩墨. 多目标粒子群优化算法研究综述[J]. 工程科学学报. doi: 10.13374/j.issn2095-9389.2020.10.31.001
FENG Qian, LI Qing, QUAN Wei, PEI Xuan-mo. Overview of multiobjective particle swarm optimization algorithm[J]. Chinese Journal of Engineering. doi: 10.13374/j.issn2095-9389.2020.10.31.001
Citation: FENG Qian, LI Qing, QUAN Wei, PEI Xuan-mo. Overview of multiobjective particle swarm optimization algorithm[J]. Chinese Journal of Engineering. doi: 10.13374/j.issn2095-9389.2020.10.31.001

多目标粒子群优化算法研究综述

doi: 10.13374/j.issn2095-9389.2020.10.31.001
基金项目: 国家自然科学基金资助项目(61673098)
详细信息
    通讯作者:

    E-mail:liqing@ies.ustb.edu.cn

  • 中图分类号: TP18

Overview of multiobjective particle swarm optimization algorithm

More Information
  • 摘要: 针对多目标粒子群优化算法的研究进展进行综述。首先,回顾了多目标优化和粒子群算法等基本理论;其次,分析了多目标优化所涉及的难点问题;再次,从最优粒子选择策略,多样性保持机制,收敛性提高手段,多样性与收敛性平衡方法,迭代公式、参数、拓扑结构的改进方案5个方面综述了近年来的最新成果;最后,指出多目标粒子群算法有待进一步解决的问题及未来的研究方向。
  • 图  1  决策空间中粒子移动示意图

    Figure  1.  Image of particle movement in the decision space

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  • 收稿日期:  2020-10-31
  • 网络出版日期:  2021-04-01

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