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Music-Inspired Harmony Search Algorithm: Theory and Applications: 191 (Studies in Computational Intelligence) - Softcover

 
9783642101243: Music-Inspired Harmony Search Algorithm: Theory and Applications: 191 (Studies in Computational Intelligence)

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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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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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  • VerlagSpringer
  • Erscheinungsdatum2010
  • ISBN 10 3642101240
  • ISBN 13 9783642101243
  • EinbandTapa blanda
  • SpracheEnglisch
  • Anzahl der Seiten216
  • HerausgeberGeem Zong Woo
  • Kontakt zum HerstellerNicht verfügbar

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9783642001840: Music-Inspired Harmony Search Algorithm: Theory and Applications: 191 (Studies in Computational Intelligence)

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ISBN 10:  364200184X ISBN 13:  9783642001840
Verlag: Springer, 2009
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ISBN 10: 3642101240 ISBN 13: 9783642101243
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783642101243

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Verlag: Springer, 2010
ISBN 10: 3642101240 ISBN 13: 9783642101243
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