An Introduction to Harmony Search Optimization Method

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.

List of contents

Introduction.- The Overview of Harmony Search.- Harmony Search in Context with Other Nature-inspired Computational Algorithms.- The Variations of Harmony Search and Its Current Research Trends.- The Hybrid Strategies of Harmony Search in Optimization Problem Solving.- Conclusions.

Summary

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.

Product details

• Authors: Xiao-Zh Gao, Xiao-Zhi Gao, Xiaole Wang, Xiaolei Wang, Kai Zenger
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 30.05.2014
• EAN: 9783319083551
• ISBN: 978-3-31-908355-1
• No. of pages: 88
• Dimensions: 158 mm x 235 mm x 6 mm
• Weight: 178 g
• Illustrations: VI, 88 p. 46 illus., 5 illus. in color.
• Series: SpringerBriefs in Applied Sciences and Technology; SpringerBriefs in Applied Sciences and Technology / SpringerBriefs in Computational Intelligence; SpringerBriefs in Computational Intelligence; SpringerBriefs in Applied Sciences and Technology; SpringerBriefs in Computational Intelligence
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; Optimierung, C, Optimization, Artificial Intelligence, engineering, Computational Intelligence, Mathematical optimization