Music-Inspired Harmony Search Algorithm: Theory and Applications (Studies in Computational Intelligence, 191)
Language: English
Published by Springer, 2009
Series: Book 37 of 538 - Studies in Computational Intelligence
- Hardcover
- Used
Seller: Scissortail, Oklahoma City, OK, U.S.A.Scissortail
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Condition: Used - Good
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- Title
- Music-Inspired Harmony Search Algorithm: Theory and Applications (Studies in Computational Intelligence, 191)
- Publisher
- Springer
- Publication year
- 2009
- Condition
- good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 364200184X
- ISBN 13
- 9783642001840
- Series
- Book 37 of 538: Studies in Computational Intelligence
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Scissortail
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