Nature-Inspired Computation in Engineering by Xin-She Yang

Nature-Inspired Computation in Engineering

byXin-She Yang

Kobo ebook | March 19, 2016

Pricing and Purchase Info

$148.29 online 
$185.25 list price save 19%

Prices and offers may vary in store

Available for download

Not available in stores

about

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.

 

Title:Nature-Inspired Computation in EngineeringFormat:Kobo ebookPublished:March 19, 2016Publisher:Springer International PublishingLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319302353

ISBN - 13:9783319302355

Look for similar items by category:

Reviews