Overview
- 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)
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Front Matter
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Back Matter
Keywords
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
Bibliographic Information
Book Title: Music-Inspired Harmony Search Algorithm
Book Subtitle: Theory and Applications
Editors: Zong Woo Geem
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-00185-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-642-00184-0Published: 12 May 2009
Softcover ISBN: 978-3-642-10124-3Published: 28 October 2010
eBook ISBN: 978-3-642-00185-7Published: 19 February 2009
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 206
Topics: Computational Mathematics and Numerical Analysis, Mathematical Modeling and Industrial Mathematics, Algorithm Analysis and Problem Complexity, Mathematical and Computational Engineering, Artificial Intelligence, Music
Industry Sectors: Aerospace, Energy, Utilities & Environment, IT & Software