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An Introduction to Harmony Search Optimization Method

  • Xiaolei Wang
  • Xiao-Zhi Gao
  • Kai Zenger

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

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
    Pages 1-4
  3. Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
    Pages 5-11
  4. Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
    Pages 21-30
  5. Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
    Pages 31-83
  6. Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger
    Pages 85-86
  7. Back Matter
    Pages 87-88

About this book

Introduction

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.

Keywords

Bio-inspired Computing Harmony Search Hybrid Optimization Methods Motor Design Nature-inspired Algorithms

Authors and affiliations

  • Xiaolei Wang
    • 1
  • Xiao-Zhi Gao
    • 2
  • Kai Zenger
    • 3
  1. 1.Department of Electrical Engineering and AutomationAalto UniversityEspooFinland
  2. 2.Department of Electrical Engineering and AutomationAalto UniversityEspooFinland
  3. 3.Department of Electrical Engineering and AutomationAalto UniversityEspooFinland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-08356-8
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-08355-1
  • Online ISBN 978-3-319-08356-8
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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