Lex

Browse

GenresShelvesPremiumBlog

Company

AboutJobsPartnersSell on LexAffiliates

Resources

DocsInvite FriendsFAQ

Legal

Terms of ServicePrivacy Policygeneral@lex-books.com(215) 703-8277

© 2026 LexBooks, Inc. All rights reserved.

Foraging-Inspired Optimisation AlgorithmsForaging-Inspired Optimisation Algorithms

Foraging-Inspired Optimisation Algorithms

Anthony Brabazon, Seán McGarraghy

4.0(1)on Hardcover

About this book

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.

Details

OL Work ID
OL20913199W

Subjects

Mathematical optimizationBionics

Find this book

HardcoverOpen Library
Book data from Open Library. Cover images courtesy of Open Library.