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Sinopsis
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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- EditorialSpringer
- Año de publicación2009
- ISBN 10 364200184X
- ISBN 13 9783642001840
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas216
- EditorGeem Zong Woo
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Music-Inspired Harmony Search Algorithm : Theory and Applications
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Springer-Verlag GmbH, 2009
ISBN 10: 364200184X
ISBN 13: 9783642001840
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Music-Inspired Harmony Search Algorithm
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Puts together for the first time theoretical backgrounds and practical applications of harmony search algorithms Calculus has been used in solving many scientific and engineering problems. For optimization problems, however, the differential c. Nº de ref. del artículo: 5043021
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Music-Inspired Harmony Search Algorithm
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Berlin Springer Berlin Heidelberg Springer Mai 2009, 2009
ISBN 10: 364200184X
ISBN 13: 9783642001840
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 206 pp. Englisch. Nº de ref. del artículo: 9783642001840
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Music-Inspired Harmony Search Algorithm : Theory and Applications
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Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
ISBN 10: 364200184X
ISBN 13: 9783642001840
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Buch. Condición: 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. Nº de ref. del artículo: 9783642001840
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Music-Inspired Harmony Search Algorithm: Theory and Applications (Studies in Computational Intelligence, 191)
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Music-Inspired Harmony Search Algorithm: Theory and Applications (Studies in Computational Intelligence, 191)
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Music-Inspired Harmony Search Algorithm: Theory and Applications (Studies in Computational Intelligence (191))
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