Foraging-Inspired Optimisation Algorithms (e-bog) af McGarraghy, Sean
McGarraghy, Sean (forfatter)

Foraging-Inspired Optimisation Algorithms e-bog

436,85 DKK (inkl. moms 546,06 DKK)
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-neur...
E-bog 436,85 DKK
Forfattere McGarraghy, Sean (forfatter)
Forlag Springer
Udgivet 26 september 2018
Genrer Management decision making
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9783319591568
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.