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An introduction to harmony search optimization method [electronic resource]

  • 作者： Wang, Xiaolei.
  • 其他作者：
  • 其他題名：
    • SpringerBriefs in applied sciences and technology.
  • 出版： Cham : Springer International Publishing :Imprint: Springer
  • 叢書名： SpringerBriefs in applied sciences and technology, Computational intelligence,
  • 主題： Computational intelligence , Electronic information resource searching , Engineering , Computational intelligence , Artificial Intelligence (incl. Robotics) , Optimization.
  • ISBN： 9783319083568 (electronic bk.) 、 9783319083551 (paper)
  • FIND@SFXID: CGU
  • 資料類型: 電子書
  • 內容註: Introduction -- The Overview of Harmony Search -- Harmony Search in Context with Other Nature-inspired Computational Algorithms -- The Variations of Harmony Search and Its Current Research Trends -- The Hybrid Strategies of Harmony Search in Optimization Problem Solving -- Conclusions.
  • 摘要註: This brief provides a detailed introduction, discussion and bibliographic review of the nature1-inspired optimization algorithm called Harmony Search. It uses a large number of simulation results to demonstrate the advantages of Harmony Search and its variants and also their drawbacks. The authors show how weaknesses can be amended by hybridization with other optimization methods. The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researchers and practitioners of electrical and computer engineering more generally in acquainting themselves with this method of vector-based optimization.
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  • 系統號： 005126733 | 機讀編目格式

    • 館藏資訊

    This brief provides a detailed introduction, discussion and bibliographic review of the nature1-inspired optimization algorithm called Harmony Search. It uses a large number of simulation results to demonstrate the advantages of Harmony Search and its variants and also their drawbacks. The authors show how weaknesses can be amended by hybridization with other optimization methods. The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researchers and practitioners of electrical and computer engineering more generally in acquainting themselves with this method of vector-based optimization.

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