An Introduction to Harmony Search Optimization Method
Author:   Xiaolei Wang ,  Xiao-Zhi Gao ,  Kai Zenger
Publisher:   Springer International Publishing AG
Edition:   2015 ed.
ISBN:  

9783319083551


Pages:   88
Publication Date:   04 August 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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An Introduction to Harmony Search Optimization Method


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Overview

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.

Full Product Details

Author:   Xiaolei Wang ,  Xiao-Zhi Gao ,  Kai Zenger
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2015 ed.
Dimensions:   Width: 15.50cm , Height: 0.50cm , Length: 23.50cm
Weight:   1.766kg
ISBN:  

9783319083551


ISBN 10:   3319083554
Pages:   88
Publication Date:   04 August 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table 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.

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