Téléchargez le livre : Foraging-Inspired Optimisation Algorithms

Foraging-Inspired Optimisation Algorithms

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Éditeur :

Springer


Collection :

Natural Computing Series

Paru le : 2018-09-26

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Description


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.
Pages
478 pages
Collection
Natural Computing Series
Parution
2018-09-26
Marque
Springer
EAN papier
9783319591551
EAN PDF
9783319591568
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
47
Taille du fichier
7905 Ko
Prix
60,49 €

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