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yang x nature inspired computation engineering 2016

Type:: E-books
Files:: 1
Size:: 21.7 MB
Uploaded On:: March 17, 2023, 5:40 p.m.
Added By:: andryold1
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Info Hash:: E2E2B7A9A4921062656AC6E649788A57C37D0AC6

Textbook in PDF format 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

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Yang X. Nature-Inspired Computation in Engineering 2016.pdf 21.7 MB

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yang x nature inspired computation engineering 2016

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