Foraging-Inspired Optimisation Algorithms (Hardcover, 1st ed. 2018)

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 International Publishing AG
Country of origin:	Switzerland
Series:	Natural Computing Series
Release date:	October 2018
First published:	2017
Authors:	Anthony Brabazon • Sean McGarraghy
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	478
Edition:	1st ed. 2018
ISBN-13:	978-3-319-59155-1
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-59155-X
Barcode:	9783319591551

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