• Patrick Siarry

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

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