Produktbild: Nature-Inspired Computation in Engineering

Nature-Inspired Computation in Engineering

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106,99 €

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Studies in Computational Intelligence 637

ISBN: 3319302337
ISBN 13: 9783319302331
Herausgeber: Xin-She Yang
Verlag: Springer Verlag GmbH
Umfang: x, 276 S., 20 s/w Illustr., 34 farbige Illustr., 276 p. 54 illus., 34 illus. in color.
Erscheinungsdatum: 30.03.2016
Auflage: 1/2016
Produktform: Gebunden/Hardback
Einband: Gebunden

This timely review book summarizes the stateoftheart developments in natureinspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogatedassisted cooperative coevolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining.

Artikelnummer: 9063017 Kategorie:

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Springer Verlag GmbH
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69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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