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An Introduction to Harmony Search Optimization Method

  • Book
  • © 2015

Overview

Authors:
  1. Xiaolei Wang

    1. Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland

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  2. Xiao-Zhi Gao

    1. Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland

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    You can also search for this author in PubMed   Google Scholar

  3. Kai Zenger

    1. Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland

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  • The latest research on emerging optimization method "Harmony Search"
  • Reinforces the power of Harmony Search with hybridization with various other optimization methods
  • Supported by reliable results from numerical simulation
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-vi
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  2. Introduction

    • Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
    Pages 1-4

  3. The Overview of Harmony Search

    • Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
    Pages 5-11

  4. The Harmony Search in Context with Other Nature Inspired Computational Algorithms

    • Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
    Pages 13-20

  5. The Variations of Harmony Search and Its Current Research Trends

    • Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
    Pages 21-30

  6. The Hybrid Strategies of Harmony Search in Optimization Problem Solving

    • Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
    Pages 31-83

  7. Conclusions

    • Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
    Pages 85-86

  8. Back Matter

    Pages 87-88
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Keywords

About this book

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.

Authors and Affiliations

  • Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland

    Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger

Bibliographic Information

  • Book Title: An Introduction to Harmony Search Optimization Method

  • Authors: Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger

  • Series Title: SpringerBriefs in Applied Sciences and Technology

  • DOI: https://doi.org/10.1007/978-3-319-08356-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2015

  • Softcover ISBN: 978-3-319-08355-1Published: 04 August 2014

  • eBook ISBN: 978-3-319-08356-8Published: 22 July 2014

  • Series ISSN: 2191-530X

  • Series E-ISSN: 2191-5318

  • Edition Number: 1

  • Number of Pages: VI, 88

  • Number of Illustrations: 41 b/w illustrations, 5 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Optimization

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