Nature-Inspired Computation in Engineering (Studies in Computational Intelligence, 637)

ISBN 10: 3319302337 / ISBN 13: 9783319302331

Edité par Springer, 2016

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N° de réf. du vendeur I-9783319302331

Détails bibliographiques

• Titre: Nature-Inspired Computation in Engineering (Studies in Computational Intelligence, 637)
• Éditeur: Springer
• Date de parution: 2016
• Langue: anglais
• ISBN à 10 chiffres: 3319302337
• ISBN à 13 chiffres: 9783319302331
• Reliure: Couverture rigide
• État de l'article: New

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Synopsis

This timely review book summarizes the state-of-the-art developments in nature-inspired 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, surrogated-assisted cooperative co-evolution, 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.