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Engineering - Computational Intelligence and Complexity | An Introduction to Harmony Search Optimization Method

An Introduction to Harmony Search Optimization Method

Wang, Xiaolei, Gao, Xiao-Zhi, Zenger, Kai

2015, VI, 88 p. 46 illus., 5 illus. in color.

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  • About this book

  • 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
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.

Content Level » Research

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

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity - Mathematics

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