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New Advancements in Swarm Algorithms: Operators and Applications

  • Erik Cuevas
  • Fernando Fausto
  • Adrián González

Part of the Intelligent Systems Reference Library book series (ISRL, volume 160)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Erik Cuevas, Fernando Fausto, Adrián González
    Pages 1-41
  3. Erik Cuevas, Fernando Fausto, Adrián González
    Pages 43-67
  4. Erik Cuevas, Fernando Fausto, Adrián González
    Pages 69-109
  5. Erik Cuevas, Fernando Fausto, Adrián González
    Pages 111-137
  6. Erik Cuevas, Fernando Fausto, Adrián González
    Pages 139-159
  7. Erik Cuevas, Fernando Fausto, Adrián González
    Pages 161-188
  8. Erik Cuevas, Fernando Fausto, Adrián González
    Pages 189-209
  9. Erik Cuevas, Fernando Fausto, Adrián González
    Pages 211-240
  10. Erik Cuevas, Fernando Fausto, Adrián González
    Pages 241-278
  11. Erik Cuevas, Fernando Fausto, Adrián González
    Pages 279-296

About this book

Introduction

This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineers and practitioners solve their own optimization problems.


Keywords

Swarm Intelligence Metaheuristics Evolutionary Computation Swarm Methods Metaheuristic Methods

Authors and affiliations

  • Erik Cuevas
    • 1
  • Fernando Fausto
    • 2
  • Adrián González
    • 3
  1. 1.CUCEI, Universidad de GuadalajaraGuadalajaraMexico
  2. 2.CUCEI, Universidad de GuadalajaraGuadalajaraMexico
  3. 3.CUCEI, Universidad de GuadalajaraGuadalajaraMexico

Bibliographic information

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