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An Introduction to Harmony Search Optimization Method

An Introduction to Harmony Search Optimization Method

An Introduction to Harmony Search Optimization Method
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An Introduction to Harmony Search Optimization Method Paperback - 2014

by Wang, Xiaolei (Author)/ Gao, Xiao-Zhi (Author)/ Zenger, Kai (Author)

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Springer, 2014. Paperback. New. 2015 edition. 88 pages. 9.00x5.00x0.25 inches.
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Details

  • Title An Introduction to Harmony Search Optimization Method
  • Author Wang, Xiaolei (Author)/ Gao, Xiao-Zhi (Author)/ Zenger, Kai (Author)
  • Binding Paperback
  • Condition New
  • Pages 88
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2014
  • Bookseller's Inventory # x-3319083554
  • ISBN 9783319083551 / 3319083554
  • Weight 0.32 lbs (0.15 kg)
  • Dimensions 9.21 x 6.14 x 0.2 in (23.39 x 15.60 x 0.51 cm)
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Computers - General Information
  • Dewey Decimal Code 006.3
  • Quantity available 2

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Reader reviews for An Introduction to Harmony Search Optimization Method

From the publisher

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.

From the rear cover

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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