Foraging-Inspired Optimisation Algorithms

Foraging-Inspired Optimisation Algorithms

EnglishHardbackPrint on demand
Brabazon Anthony
Springer, Berlin
EAN: 9783319591551
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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.

EAN 9783319591551
ISBN 331959155X
Binding Hardback
Publisher Springer, Berlin
Publication date October 6, 2018
Pages 478
Language English
Dimensions 235 x 155
Country Switzerland
Readership Professional & Scholarly
Authors Brabazon Anthony; McGarraghy, Sean
Illustrations XVIII, 478 p.
Edition 1st ed. 2018
Series Natural Computing Series