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Foraging-Inspired Optimisation Algorithms

-15% su kodu: ENG15
100,78 
Įprasta kaina: 118,56 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
100,78 
Įprasta kaina: 118,56 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 118.5600 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

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.

Informacija

Autorius: Seán Mcgarraghy, Anthony Brabazon,
Serija: Natural Computing Series
Leidėjas: Springer International Publishing
Išleidimo metai: 2018
Knygos puslapių skaičius: 496
ISBN-10: 331959155X
ISBN-13: 9783319591551
Formatas: 241 x 160 x 33 mm. Knyga kietu viršeliu
Kalba: Anglų

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