© 2016


  • Patrick Siarry


  • Metaheuristics exhibit desirable properties like simplicity, parallelizability, and applicability

  • Contributing authors are leading researchers in the domain

  • Valuable for industrial practitioners, graduate students, and research academics


Table of contents

  1. Front Matter
    Pages i-xvi
  2. Patrick Siarry
    Pages 1-18
  3. Patrick Siarry
    Pages 19-50
  4. Eric Taillard
    Pages 51-76
  5. Gilles Caporossi, Pierre Hansen, Nenad Mladenović
    Pages 77-98
  6. Michel Vasquez, Mirsad Buljubašić
    Pages 99-114
  7. Alain Petrowski, Sana Ben Hamida
    Pages 115-178
  8. Nicolas Monmarché
    Pages 179-202
  9. Maurice Clerc
    Pages 203-228
  10. Ilhem Boussaïd
    Pages 229-262
  11. Sébastien Aupetit, Mohamed Slimane
    Pages 263-286
  12. Eric Taillard
    Pages 357-379
  13. Laurent Deroussi, Nathalie Grangeon, Sylvie Norre
    Pages 381-405
  14. Caroline Prodhon, Christian Prins
    Pages 407-437
  15. Nicolas Durand, David Gianazza, Jean-Baptiste Gotteland, Charlie Vanaret, Jean-Marc Alliot
    Pages 439-484
  16. Back Matter
    Pages 485-489

About this book


Metaheuristics exhibit desirable properties like simplicity, easy parallelizability, and ready applicability to different types of optimization problems. After a comprehensive introduction to the field, the contributed chapters in this book include explanations of the main metaheuristics techniques, including simulated annealing, tabu search, evolutionary algorithms, artificial ants, and particle swarms, followed by chapters that demonstrate their applications to problems such as multiobjective optimization, logistics, vehicle routing, and air traffic management.

The authors are leading researchers in this domain, with considerable teaching and applications experience, and the book will be of value to industrial practitioners, graduate students, and research academics.


Computational Intelligence Evolutionary computing Heuristics Metaheuristics Optimization Search Swarm intelligence

Editors and affiliations

  • Patrick Siarry
    • 1
  1. 1.Laboratory LiSSi (EA 3956)Université Paris-Est CréteilCréteilFrance

About the editors

Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Créteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systèmes Intelligents (LiSSi). He has considerable teaching, research and writing experience in the areas of signal processing, control, artificial intelligence, operations research, and optimization. He presently serves as an Associate Editor of the journal Information Sciences and the journal Engineering Applications of Artificial Intelligence.

Bibliographic information

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“The book’s chapters are written by prominent researchers in the metaheuristics field. They include adequate references, and many contain annotated bibliographies. … This book will be useful for academicians, problem solvers in industry, practitioners, students, and researchers.” (S. V. Nagaraj, Computing Reviews, January, 2018)