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Foraging-Inspired Optimisation Algorithms (Paperback, Softcover reprint of the original 1st ed. 2018) Loot Price: R1,462
Discovery Miles 14 620
Repayment Terms: R137 pm x 12*
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Foraging-Inspired Optimisation Algorithms (Paperback, Softcover reprint of the original 1st ed. 2018): Anthony Brabazon, Sean...

Foraging-Inspired Optimisation Algorithms (Paperback, Softcover reprint of the original 1st ed. 2018)

Anthony Brabazon, Sean McGarraghy

Series: Natural Computing Series

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Loot Price R1,462 Discovery Miles 14 620 | Repayment Terms: R137 pm x 12*

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This book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization algorithms that stem from a foraging metaphor. The authors first offer perspectives on foraging and foraging-inspired algorithms for optimization, they then explain the techniques inspired by the behaviors of vertebrates, invertebrates, and non-neuronal organisms, and they then discuss algorithms based on formal models of foraging, how to evolve a foraging strategy, and likely future developments. No prior knowledge of natural computing is assumed. This book will be of particular interest to graduate students, academics and practitioners in computer science, informatics, data science, management science, and other application domains.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Natural Computing Series
Release date: February 2019
First published: 2018
Authors: Anthony Brabazon • Sean McGarraghy
Dimensions: 235 x 155 x 25mm (L x W x T)
Format: Paperback
Pages: 478
Edition: Softcover reprint of the original 1st ed. 2018
ISBN-13: 978-3-03-009640-3
Categories: Books > Computing & IT > General theory of computing > General
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-009640-8
Barcode: 9783030096403

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