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

ISBN 10: 3319807579 / ISBN 13: 9783319807577

Edité par Springer, 2018

A propos de cet article

New.

N° de réf. du vendeur ERICA80033198075796

Détails bibliographiques

• Titre: Nature-Inspired Computation in Engineering (Studies in Computational Intelligence, 637)
• Éditeur: Springer
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 3319807579
• ISBN à 13 chiffres: 9783319807577
• Reliure: Paperback
• État de l'article: New
• Type de livre: book

A propos de ce titre

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 serveas a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining.