An Introduction to Harmony Search Optimization Method

Nonfiction, Science & Nature, Mathematics, Applied, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book An Introduction to Harmony Search Optimization Method by Kai Zenger, Xiao-Zhi Gao, Xiaolei Wang, Springer International Publishing
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Author: Kai Zenger, Xiao-Zhi Gao, Xiaolei Wang ISBN: 9783319083568
Publisher: Springer International Publishing Publication: July 22, 2014
Imprint: Springer Language: English
Author: Kai Zenger, Xiao-Zhi Gao, Xiaolei Wang
ISBN: 9783319083568
Publisher: Springer International Publishing
Publication: July 22, 2014
Imprint: Springer
Language: English

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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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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