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Foraging-Inspired Optimisation Algorithms. 2018 ed.

Foraging-Inspired Optimisation Algorithms. 2018 ed.

・ISBN 978-3-319-59155-1 hard EUR 69.99

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お気に入り
著者・編者Brabazon, Anthony / McGarraghy, Sean,
シリーズ (Natural Computing Series)
出版社 (Springer International Publishing AG, SZ)
出版年月2018
ページ数478 pp.
言語ENG
ニュース番号<A02-79404>

解説

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.