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Titlebook: Music-Inspired Harmony Search Algorithm; Theory and Applicati Zong Woo Geem Book 2009 Springer-Verlag Berlin Heidelberg 2009 Computational

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書(shū)目名稱Music-Inspired Harmony Search Algorithm
副標(biāo)題Theory and Applicati
編輯Zong Woo Geem
視頻videohttp://file.papertrans.cn/642/641546/641546.mp4
概述Puts together for the first time theoretical backgrounds and practical applications of harmony search algorithms.Includes supplementary material:
叢書(shū)名稱Studies in Computational Intelligence
圖書(shū)封面Titlebook: Music-Inspired Harmony Search Algorithm; Theory and Applicati Zong Woo Geem Book 2009 Springer-Verlag Berlin Heidelberg 2009 Computational
描述.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..
出版日期Book 2009
關(guān)鍵詞Computational Intelligence; Harmony Search Algorithm; NP; Soft Computing; algorithms; evolution; metaheuri
版次1
doihttps://doi.org/10.1007/978-3-642-00185-7
isbn_softcover978-3-642-10124-3
isbn_ebook978-3-642-00185-7Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2009
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Book 2009ometimes 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 e
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1860-949X rial: .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
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rough discussion of certain random effects models not common.Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today. In particular, ANOVA models involving random effects have found widespread application to experim
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