An Introduction to Harmony Search Optimization Method

Xiaolei Wang

ISBN 10: 3319083554 / ISBN 13: 9783319083551

Published by Springer International Publishing Aug 2014, 2014

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 96 pp. Englisch.

Seller Inventory # 9783319083551

Bibliographic Details

• Title: An Introduction to Harmony Search Optimization Method
• Publisher: Springer International Publishing Aug 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3319083554
• ISBN 13: 9783319083551
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.