Chinese Journal of Ship Research, Volume. 16, Issue 4, 1(2021)

Advances in meta-heuristic methods for large-scale black-box optimization problems

Puyu JIANG1, Jun LIU1, Qi ZHOU2, and Yuansheng CHENG1
Author Affiliations
  • 1School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2School of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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    Figures & Tables(8)
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    • Table 1. Summary of research advances using meta-heuristic algorithms for LBOPs

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      Table 1. Summary of research advances using meta-heuristic algorithms for LBOPs

      是否基于分解策略使用的优化框架典型文献
      DE算法[12-28]
      PSO算法[29-39]
      其他及混合型算法[40-49]
      合作协同进化算法(CCEA)[50-105]
      非CCEA算法[106-118]
    • Table 2. Summary of research advances of CCEA

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      Table 2. Summary of research advances of CCEA

      研究内容典型文献
      分组策略[50-73, 128]
      合作者选择策略[50-51, 61, 74-91]
      适应度评价策略[88-89, 92-100]
      计算资源分配策略[50, 101-105]
    • Table 3. Summary of surrogate model assisted meta-heuristic algorithms

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      Table 3. Summary of surrogate model assisted meta-heuristic algorithms

      是否基于分解策略典型文献
      RBF模型GP模型
      [141-146][138, 140, 145, 147]
      [148-151][151]
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    Puyu JIANG, Jun LIU, Qi ZHOU, Yuansheng CHENG. Advances in meta-heuristic methods for large-scale black-box optimization problems[J]. Chinese Journal of Ship Research, 2021, 16(4): 1

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    Paper Information

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    Received: Dec. 31, 2020

    Accepted: --

    Published Online: Mar. 28, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02248

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