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Discrete Cuckoo Search with Local Search for Max-cut Problem

机译:离散杜鹃搜索与本地搜索最大割问题

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摘要

Max-cut problem is a well-known NP-hard problem, in this paper, a hybrid meta-heuristic algorithm is designed to solve it. In this algorithm, the discrete cuckoo search is employed to find the approximate satisfied solution, while the local optimal solution is used to further improve the performance. To test the validity, three other algorithms are used to compare, simulation results show our modification is effective.
机译:最大割问题是众所周知的NP难题,本文设计了一种混合元启发式算法来求解。在该算法中,采用离散布谷鸟搜索来找到近似满意解,而使用局部最优解来进一步提高性能。为了验证有效性,使用了其他三种算法进行比较,仿真结果表明我们的修改是有效的。

著录项

  • 来源
    《Intelligence science I》|2017年|66-74|共9页
  • 会议地点 Shanghai(CN)
  • 作者单位

    Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan 030024, Shanxi, China;

    Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan 030024, Shanxi, China;

    Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan 030024, Shanxi, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Max-cut problem; Discrete cuckoo search algorithm; Local search strategy;

    机译:最大切割问题;离散的布谷鸟搜索算法;本地搜寻策略;

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