ENGLISH

Music-inspired harmony search algorithm: theory and applications

By Xin-She Yang (auth.) , Zong Woo Geem (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2009
ISBN
364200184X, 9783642001840
DOI
10.1007/978-3-642-00185-7
Language
english
Format
PDF
Filesize
6 MB (6205015 bytes)
Series
Studies in Computational Intelligence 191
Edition
1
Pages
206\210
Time added
2009-08-06 05:14:26
Appl.Mathematics/Computational Methods of Engineer

Description

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.

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