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  • © 2009

Music-Inspired Harmony Search Algorithm

Theory and Applications

Editors:

  • Puts together for the first time theoretical backgrounds and practical applications of harmony search algorithms
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 191)

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Table of contents (12 chapters)

  1. Front Matter

  2. Harmony Search Methods for Multi-modal and Constrained Optimization

    • X. Z. Gao, X. Wang, S. J. Ovaska
    Pages 39-51
  3. Optimum Design of Steel Skeleton Structures

    • Mehmet Polat Saka
    Pages 87-112
  4. Harmony Search Algorithms for Water and Environmental Systems

    • Zong Woo Geem, Chung-Li Tseng, Justin C. Williams
    Pages 113-127
  5. Harmony Search Algorithm for Transport Energy Demand Modeling

    • Halim Ceylan, Huseyin Ceylan
    Pages 163-172
  6. Sound Classification in Hearing Aids by the Harmony Search Algorithm

    • Enrique Alexandre, Lucas Cuadra, Roberto Gil-Pita
    Pages 173-188
  7. Harmony Search in Therapeutic Medical Physics

    • Aditya Panchal
    Pages 189-203
  8. Back Matter

About this book

Calculus has been used in solving many scientific and engineering problems. For optimization problems, however, the differential calculus technique sometimes has a drawback when the objective function is step-wise, discontinuous, or multi-modal, or when decision variables are discrete rather than continuous. Thus, researchers have recently turned their interests into metaheuristic algorithms that have been inspired by natural phenomena such as evolution, animal behavior, or metallic annealing.

This book especially focuses on a music-inspired metaheuristic algorithm, harmony search. Interestingly, there exists an analogy between music and optimization: each musical instrument corresponds to each decision variable; musical note corresponds to variable value; and harmony corresponds to solution vector. Just like musicians in Jazz improvisation play notes randomly or based on experiences in order to find fantastic harmony, variables in the harmony search algorithm have random values or previously-memorized good values in order to find optimal solution.

Editors and Affiliations

  • Westat, Rockville, USA

    Zong Woo Geem

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access