Skip to main content
  • Book
  • © 2018

Foraging-Inspired Optimisation Algorithms

  • Understanding foraging strategies improves search processes
  • No prior knowledge of natural computing assumed
  • Valuable for graduate students, academics and practitioners in computer science, informatics, data science, and management science

Part of the book series: Natural Computing Series (NCS)

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 79.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (19 chapters)

  1. Front Matter

    Pages I-XVIII
  2. Introduction

    • Anthony Brabazon, Seán McGarraghy
    Pages 1-17
  3. Perspectives on Foraging

    1. Front Matter

      Pages 19-21
    2. Formal Models of Foraging

      • Anthony Brabazon, Seán McGarraghy
      Pages 23-44
    3. Sensory Modalities

      • Anthony Brabazon, Seán McGarraghy
      Pages 45-63
    4. Individual and Social Learning

      • Anthony Brabazon, Seán McGarraghy
      Pages 65-82
  4. Foraging-Inspired Algorithms for Optimisation

    1. Front Matter

      Pages 83-85
    2. Introduction to Foraging-Inspired Algorithms

      • Anthony Brabazon, Seán McGarraghy
      Pages 87-101
  5. Vertebrates

    1. Front Matter

      Pages 103-105
    2. Mammal Foraging Algorithms

      • Anthony Brabazon, Seán McGarraghy
      Pages 107-136
    3. Bird Foraging Algorithms

      • Anthony Brabazon, Seán McGarraghy
      Pages 137-146
    4. Aquatic Foraging Algorithms

      • Anthony Brabazon, Seán McGarraghy
      Pages 147-166
  6. Invertebrates

    1. Front Matter

      Pages 167-169
    2. Ant Foraging Algorithms

      • Anthony Brabazon, Seán McGarraghy
      Pages 171-201
    3. Honeybee Foraging Algorithms

      • Anthony Brabazon, Seán McGarraghy
      Pages 203-219
    4. Bioluminescence Foraging Algorithms

      • Anthony Brabazon, Seán McGarraghy
      Pages 221-235
    5. Spider and Antlion Foraging Algorithms

      • Anthony Brabazon, Seán McGarraghy
      Pages 237-251
    6. Worm Foraging Algorithm

      • Anthony Brabazon, Seán McGarraghy
      Pages 253-262
  7. Nonneuronal Organisms

    1. Front Matter

      Pages 263-266
    2. Bacterial and Viral Foraging Algorithms

      • Anthony Brabazon, Seán McGarraghy
      Pages 267-295

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.

Authors and Affiliations

  • School of Business, University College Dublin, Dublin, Ireland

    Anthony Brabazon

  • UCD Centre for Business Analytics, University College Dublin, Dublin, Ireland

    Seán McGarraghy

About the authors

Prof. Anthony Brabazon is currently Dean of the UCD College of Business. Previous positions held in UCD include Associate Dean and Director of the Smurfit Graduate School of Business, Vice-Principal of Research and Innovation for the College of Business and Law, and Head of Research for the School of Business. His primary research interests concern the development of natural computing theory and the application of related algorithms to real-world problems, particularly in the domain of business and finance, and he has pioneered multidisciplinary collaborations with industry in areas such as financial mathematics, financial economics, and computer science. He is cofounder and codirector of the Natural Computing Research and Applications Group at UCD, among the most successful research groups dedicated to this subject. Among his publications are the successful coauthored books 'Natural Computing Algorithms', 'Foundations in Grammatical Evolution for DynamicEnvironments', and 'Biologically Inspired Algorithms for Financial Modelling'. 

Dr. Seán McGarraghy is the director of the UCD Centre for Business Analytics, he was formerly director of the UCD Smurfit Graduate School of Business MSc in Business Analytics. He has qualifications in electronics, mathematics and management and his teaching and academic publications cover many aspects of business analytics and operations research. Particular topics of interests include combinatorial enumeration and optimization, network algorithms, supply chain management, quadratic forms and K-theory. Among his publications are the successful coauthored book 'Natural Computing Algorithms'.

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 79.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access