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Music-Inspired Harmony Search Algorithm - 9783642101243

Description: Music-Inspired Harmony Search Algorithm Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Theory and Applications Author(s): Zong Woo Geem Format: Paperback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783642101243, 978-3642101243 Synopsis 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.

Price: 73.05 GBP

Location: Aldershot

End Time: 2025-01-12T09:08:33.000Z

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Music-Inspired Harmony Search Algorithm - 9783642101243

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Book Title: Music-Inspired Harmony Search Algorithm

Number of Pages: 206 Pages

Language: English

Publication Name: Music-Inspired Harmony Search Algorithm: Theory and Applications

Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG

Publication Year: 2010

Subject: Engineering & Technology, Computer Science, Mathematics

Item Height: 235 mm

Item Weight: 338 g

Type: Textbook

Author: Zong Woo Geem

Series: Studies in Computational Intelligence

Item Width: 155 mm

Format: Paperback

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