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An Introduction to Metaheuristics for Optimization

  • Bastien Chopard
  • Marco Tomassini

Part of the Natural Computing Series book series (NCS)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Bastien Chopard, Marco Tomassini
    Pages 1-14
  3. Bastien Chopard, Marco Tomassini
    Pages 15-41
  4. Bastien Chopard, Marco Tomassini
    Pages 43-57
  5. Bastien Chopard, Marco Tomassini
    Pages 59-79
  6. Bastien Chopard, Marco Tomassini
    Pages 81-96
  7. Bastien Chopard, Marco Tomassini
    Pages 97-102
  8. Bastien Chopard, Marco Tomassini
    Pages 103-114
  9. Bastien Chopard, Marco Tomassini
    Pages 115-138
  10. Bastien Chopard, Marco Tomassini
    Pages 139-169
  11. Bastien Chopard, Marco Tomassini
    Pages 171-189
  12. Bastien Chopard, Marco Tomassini
    Pages 191-203
  13. Bastien Chopard, Marco Tomassini
    Pages 205-214
  14. Back Matter
    Pages 215-226

About this book

Introduction

The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies.

This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.

Keywords

Tabu Search Simulated Annealing Ant Colony Optimization Evolutionary Algorithms (EAs) Evolutionary Computing (EC) Optimization Metaheuristics

Authors and affiliations

  • Bastien Chopard
    • 1
  • Marco Tomassini
    • 2
  1. 1.Département d'informatiqueUniversité de GenèveCarougeSwitzerland
  2. 2.Faculté des hautes études commerciales (HEC)Université de LausanneLausanneSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-93073-2
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-93072-5
  • Online ISBN 978-3-319-93073-2
  • Series Print ISSN 1619-7127
  • Buy this book on publisher's site