Recent Advances in Harmony Search Algorithm (Studies in Computational Intelligence, 270)

Geem, Zong Woo

ISBN 10: 364204316X ISBN 13: 9783642043161

Verlag: Springer, 2010

Sprache: Englisch

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Bibliografische Details

Titel

Recent Advances in Harmony Search Algorithm (Studies in Computational Intelligence, 270)

Verlag

Springer

Erscheinungsjahr

2010

Sprache

Englisch

ISBN-10

364204316X

ISBN-13

9783642043161

Einband

Hardcover

Zustand

As New

Verk�uferkataloge

�ber diesen Titel

Inhaltsangabe

Nowadays, music-inspired phenomenon-mimicking harmony search algorithm is fast growing with many applications. One of key success factors of the algorithm is the employment of a novel stochastic derivative which can be used even for discrete variables. Instead of traditional calculus-based gradient, the algorithm utilizes musician's experience as a derivative in searching for an optimal solution. This can be a new paradigm and main reason in the successes of various applications.

The goal of this book is to introduce major advances of the harmony search algorithm in recent years. The book contains 14 chapters with the following subjects: State-of-the-art in the harmony search algorithm structure; robotics (robot terrain and manipulator trajectory); visual tracking; web text data mining; power flow planning; fuzzy control system; hybridization (with Taguchi method or SQP method); groundwater management; irrigation ; logistics; timetabling; and bioinformatics (RNA structure prediction).

This book collects the above-mentioned theory and applications, which are dispersed in various technical publications, so that readers can have a good grasp of current status of the harmony search algorithm and foster new breakthroughs in their fields using the algorithm.

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Nowadays, music-inspired phenomenon-mimicking harmony search algorithm is fast growing with many applications. One of key success factors of the algorithm is the employment of a novel stochastic derivative which can be used even for discrete variables. Instead of traditional calculus-based gradient, the algorithm utilizes musician s experience as a derivative in searching for an optimal solution. This can be a new paradigm and main reason in the successes of various applications.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

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