© 2008

Advances in Metaheuristics for Hard Optimization

  • Patrick Siarry
  • Zbigniew Michalewicz

Part of the Natural Computing Series book series (NCS)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Gusz Eiben, Martijn C. Schut
    Pages 153-177
  3. Marc Schoenauer, Pierre Savéant, Vincent Vidal
    Pages 179-198
  4. Carlos García-Martínez, Manuel Lozano
    Pages 199-221
  5. Francisco B. Pereira, JorgeM.C. Marques, Tiago Leitão, Jorge Tavares
    Pages 223-250
  6. Pankaj Kumar, Ankur Gupta, Valadi K. Jayaraman, BhaskarD. Kulkarni
    Pages 251-261
  7. Jong-Hwan Kim, Chi-Ho Lee, Kang-Hee Lee, Naveen S. Kuppuswamy
    Pages 263-292
  8. Antonin Ponsich, Catherine Azzaro-Pantel, Serge Domenech, Luc Pibouleau
    Pages 293-315
  9. Márcia Marcondes Altimari Samed, Mauro Antonio da Silva Sa Ravagnani
    Pages 317-327
  10. Efrén Mezura-Montes, Edgar A. Portilla-Flores, Carlos A. Coello Coello, Jaime Alvarez-Gallegos, Carlos A. Cruz-Villar
    Pages 329-351
  11. Zhenyu Yang, Xin Yao, Jingsong He
    Pages 397-414

About this book


Many advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general-purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and various metaheuristics.

The book gathers contributions related to the following topics: theoretical developments in metaheuristics; adaptation of discrete metaheuristics to continuous optimization; performance comparisons of metaheuristics; cooperative methods combining different approaches; parallel and distributed metaheuristics for multiobjective optimization; software implementations; and real-world applications.

This book is suitable for practitioners, researchers and graduate students in disciplines such as optimization, heuristics, operations research, and natural computing.


Hidden Markov Model algorithms data mining evolutionary algorithm genetic algorithms global optimization heuristics learning linear optimization metaheuristic multi-objective optimization nonlinear optimization operations research optimization scheduling

Editors and affiliations

  • Patrick Siarry
    • 1
  • Zbigniew Michalewicz
    • 2
  1. 1.Laboratory LiSSiUniversity of Paris 12CréteilFrance
  2. 2.School of Computer ScienceUniversity of AdelaideAdelaideAustralia

Bibliographic information

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