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Comparison of Evolutionary Algorithms SOMA, DE, PSO

机译:进化算法比较SOMA,DE,PSO

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摘要

The article offers a review of select evolutionary algorithms, in particular, of the Self-Organizing Migration Algorithm (SOMA), Differential Evolution (DE) and Particle Swarm Optimization (PSO). It describes individual parameters, strategies, and some of the termination criteria. In order to compare performances of the above-mentioned algorithms, selected objective functions have been tested.
机译:本文提供了一些选择进化算法的综述,特别是自组织迁移算法(SOMA),差分进化(DE)和粒子群优化(PSO)。它描述了各个参数,策略和某些终止条件。为了比较上述算法的性能,已测试了选定的目标函数。

著录项

  • 来源
  • 会议地点 Kos Island(GR);Kos Island(GR)
  • 作者单位

    Tomas Bata University in Zlin Faculty of Applied Informatics nam. T.G. Masaryka 5555, 760 01 Zlin CZECH REPUBLIC;

    Tomas Bata University in Zlin Faculty of Applied Informatics nam. T.G. Masaryka 5555, 760 01 Zlin CZECH REPUBLIC;

    Tomas Bata University in Zlin Faculty of Applied Informatics nam. T.G. Masaryka 5555, 760 01 Zlin CZECH REPUBLIC;

    Tomas Bata University in Zlin Faculty of Applied Informatics nam. T.G. Masaryka 5555, 760 01 Zlin CZECH REPUBLIC;

    Tomas Bata University in Zlin Faculty of Applied Informatics nam. T.G. Masaryka 5555, 760 01 Zlin CZECH REPUBLIC;

    Tomas Bata University in Zlin Faculty of Applied Informatics nam. T.G. Masaryka 5555, 760 01 Zlin CZECH REPUBLIC;

    Tomas Bata University in Zlin Faculty of Applied Informatics nam. T.G. Masaryka 5555, 760 01 Zlin CZECH REPUBLIC;

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

    optimization; evolutionary algorithms; objective function; SOMA; DE; PSO;

    机译:优化;进化算法;目标函数SOMA; DE;粒子群算法;

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