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© 2018

Foraging-Inspired Optimisation Algorithms

Book

Part of the Natural Computing Series book series (NCS)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Anthony Brabazon, Seán McGarraghy
    Pages 1-17
  3. Perspectives on Foraging

    1. Front Matter
      Pages 19-21
    2. Anthony Brabazon, Seán McGarraghy
      Pages 23-44
    3. Anthony Brabazon, Seán McGarraghy
      Pages 45-63
    4. Anthony Brabazon, Seán McGarraghy
      Pages 65-82
  4. Foraging-Inspired Algorithms for Optimisation

    1. Front Matter
      Pages 83-85
    2. Anthony Brabazon, Seán McGarraghy
      Pages 87-101
  5. Vertebrates

    1. Front Matter
      Pages 103-105
    2. Anthony Brabazon, Seán McGarraghy
      Pages 107-136
    3. Anthony Brabazon, Seán McGarraghy
      Pages 137-146
    4. Anthony Brabazon, Seán McGarraghy
      Pages 147-166
  6. Invertebrates

    1. Front Matter
      Pages 167-169
    2. Anthony Brabazon, Seán McGarraghy
      Pages 171-201
    3. Anthony Brabazon, Seán McGarraghy
      Pages 203-219
    4. Anthony Brabazon, Seán McGarraghy
      Pages 221-235
    5. Anthony Brabazon, Seán McGarraghy
      Pages 237-251
    6. Anthony Brabazon, Seán McGarraghy
      Pages 253-262
  7. Nonneuronal Organisms

    1. Front Matter
      Pages 263-266
    2. Anthony Brabazon, Seán McGarraghy
      Pages 267-295

About this book

Introduction

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.

Keywords

Foraging Social Learning Foraging Algorithms Animal Behavior Ant Foraging Algorithm Bioluminescence Algorithms Bacteria Inspired Algorithms Chemotaxis Optimization Search Learning Natural Computing Genetic Programming Evolutionary Computing Slime Mould Plant Foraging Group Search Predatory Search Heuristics Honeybees

Authors and affiliations

  1. 1.School of BusinessUniversity College DublinDublinIreland
  2. 2.UCD Centre for Business AnalyticsUniversity College DublinDublinIreland

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 Dynamic Environments', 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

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