Advertisement

Recent Advances In Harmony Search Algorithm

  • Zong Woo Geem

Part of the Studies in Computational Intelligence book series (SCI, volume 270)

Table of contents

  1. Front Matter
  2. Panwadee Tangpattanakul, Anupap Meesomboon, Pramin Artrit
    Pages 23-36
  3. Jaco Fourie, Steven Mills, Richard Green
    Pages 37-50
  4. Rana Forsati, Mehrdad Mahdavi
    Pages 51-64
  5. B. K. Panigrahi, V. Ravikumar Pandi, Swagatam Das, Ajith Abraham
    Pages 65-75
  6. Ali Rıza Yildiz, Ferruh Öztürk
    Pages 89-98
  7. Guihua Bo, Min Huang, W. H. Ip, Xingwei Wang
    Pages 135-145
  8. Mohammed Azmi Al-Betar, Ahamad Tajudin Khader, Iman Yi Liao
    Pages 147-161
  9. Abdulqader M. Mohsen, Ahamad Tajudin Khader, Dhanesh Ramachandram
    Pages 163-174
  10. Back Matter

About this book

Introduction

Nowadays, music-inspired phenomenon-mimicking harmony search algorithm is fast growing with many applications. One of key success factors of the algorithm is the employment of a novel stochastic derivative which can be used even for discrete variables. Instead of traditional calculus-based gradient, the algorithm utilizes musician’s experience as a derivative in searching for an optimal solution. This can be a new paradigm and main reason in the successes of various applications.

The goal of this book is to introduce major advances of the harmony search algorithm in recent years. The book contains 14 chapters with the following subjects: State-of-the-art in the harmony search algorithm structure; robotics (robot terrain and manipulator trajectory); visual tracking; web text data mining; power flow planning; fuzzy control system; hybridization (with Taguchi method or SQP method); groundwater management; irrigation ; logistics; timetabling; and bioinformatics (RNA structure prediction).

This book collects the above-mentioned theory and applications, which are dispersed in various technical publications, so that readers can have a good grasp of current status of the harmony search algorithm and foster new breakthroughs in their fields using the algorithm.

Keywords

bioinformatics data mining fuzzy control fuzzy logic optimization robot robotics

Editors and affiliations

  • Zong Woo Geem
    • 1
  1. 1.iGlobal UniversityVirginiaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-04317-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-04316-1
  • Online ISBN 978-3-642-04317-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site