Evolutionary Computation Techniques: A Comparative Perspective

  • Erik Cuevas
  • Valentín Osuna
  • Diego Oliva

Part of the Studies in Computational Intelligence book series (SCI, volume 686)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Erik Cuevas, Valentín Osuna, Diego Oliva
    Pages 1-8
  3. Erik Cuevas, Valentín Osuna, Diego Oliva
    Pages 9-33
  4. Erik Cuevas, Valentín Osuna, Diego Oliva
    Pages 35-64
  5. Erik Cuevas, Valentín Osuna, Diego Oliva
    Pages 65-93
  6. Erik Cuevas, Valentín Osuna, Diego Oliva
    Pages 95-116
  7. Erik Cuevas, Valentín Osuna, Diego Oliva
    Pages 117-138
  8. Erik Cuevas, Valentín Osuna, Diego Oliva
    Pages 139-154
  9. Erik Cuevas, Valentín Osuna, Diego Oliva
    Pages 155-180
  10. Erik Cuevas, Valentín Osuna, Diego Oliva
    Pages 181-204
  11. Erik Cuevas, Valentín Osuna, Diego Oliva
    Pages 205-222

About this book

Introduction

This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently. Several comparisons among EC techniques have been reported in the literature, however, they all suffer from one limitation: their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. In each chapter, a complex engineering optimization problem is posed, and then a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods.

Keywords

Evolutionary Computation Methods Evolutionary Computation Techniques Comparison EC for Complex Optimization Evolutionary Computation for Complex Optimization Computational Intelligence Intelligent Systems

Authors and affiliations

  • Erik Cuevas
    • 1
  • Valentín Osuna
    • 2
  • Diego Oliva
    • 3
  1. 1.Universidad de GuadalajaraCUCEIGuadalajaraMexico
  2. 2.Universidad de GuadalajaraCUTONALA Universidad de GuadalajaraTonalá JaliscoMexico
  3. 3.Universidad de GuadalajaraCUCEIGuadalajaraMexico

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-51109-2
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-51108-5
  • Online ISBN 978-3-319-51109-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book