An Introduction to Harmony Search Optimization Method

✍ Scribed by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger (auth.)

Publisher: Springer International Publishing
Year: 2015
Tongue: English
Leaves: 93
Series: SpringerBriefs in Applied Sciences and Technology : SpringerBriefs in Computational Intelligence
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

✦ Table of Contents

Front Matter....Pages i-vi
Introduction....Pages 1-4
The Overview of Harmony Search....Pages 5-11
The Harmony Search in Context with Other Nature Inspired Computational Algorithms....Pages 13-20
The Variations of Harmony Search and Its Current Research Trends....Pages 21-30
The Hybrid Strategies of Harmony Search in Optimization Problem Solving....Pages 31-83
Conclusions....Pages 85-86
Back Matter....Pages 87-88

✦ Subjects

Computational Intelligence; Artificial Intelligence (incl. Robotics); Optimization

📜 SIMILAR VOLUMES

Multiobjective Heuristic Search: An Intr

📁 Multiobjective Heuristic Search: An Introduction to intelligent Search Methods for Multicriteria Optimization

✍ Pallab Dasgupta, P. P. Chakrabarti, S. C. DeSarkar (auth.) 📂 Library 📅 1999 🏛 Vieweg+Teubner Verlag 🌐 English

<p>Solutions to most real-world optimization problems involve a trade-off between multiple conflicting and non-commensurate objectives. Some of the most challenging ones are area-delay trade-off in VLSI synthesis and design space exploration, time-space trade-off in computation, and multi-strategy g

Introduction to Optimization Methods

📁 Introduction to Optimization Methods

✍ P. R. Adby, M. A. H. Dempster (auth.) 📂 Library 📅 1974 🏛 Springer Netherlands 🌐 English

<p>During the last decade the techniques of non-linear optim ization have emerged as an important subject for study and research. The increasingly widespread application of optim ization has been stimulated by the availability of digital computers, and the necessity of using them in the investigat

Introduction to optimization methods

📁 Introduction to optimization methods

✍ P. Adby 📂 Library 📅 1974 🏛 Springer 🌐 English

During the last decade the techniques of non-linear optim ization have emerged as an important subject for study and research. The increasingly widespread application of optim ization has been stimulated by the availability of digital computers, and the necessity of using them in the investigation

Geometrical optics: An introduction to H

📁 Geometrical optics: An introduction to Hamilton's method

✍ J. L. Synge 📂 Library 📅 1937 🏛 Cambridge University Press 🌐 English

It is by no means easy for the applied mathematician to decide how much importance he should attach to the more abstract and aesthetic side of his work and how much to the detailed applications to physics, astronomy, engineering or the design of instruments. To all appearances, Sir William Rowan Ham

Biologically Inspired Optimization Metho

📁 Biologically Inspired Optimization Methods: An Introduction

✍ Mattias Wahde 📂 Library 📅 2008 🏛 WIT Press 🌐 English

Biologically inspired optimization methods constitute a rapidly expanding field of research, with new applications appearing on an almost daily basis, as optimization problems of ever-increasing complexity appear in science and technology. This book provides a general introduction to such optimizati

Biologically Inspired Optimization Metho

📁 Biologically Inspired Optimization Methods: An Introduction

✍ Mattias Wahde 📂 Library 📅 2008 🏛 WIT Press 🌐 English