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Parallel Problem Solving from Nature – PPSN X

10th International Conference, Dortmund, Germany, September 13-17, 2008. Proceedings

  • Günter Rudolph
  • Thomas Jansen
  • Nicola Beume
  • Simon Lucas
  • Carlo Poloni

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5199)

Table of contents

  1. Applications

    1. Francisco Flórez-Revuelta, José Manuel Casado-Díaz, Lucas Martínez-Bernabeu, Raúl Gómez-Hernández
      Pages 1011-1020
    2. Pablo Garcia-Sanchez, Juan J. Merelo, Juan L. J. Laredo, Antonio Mora, Pedro A. Castillo
      Pages 1021-1030
    3. Wilfried Jakob, Alexander Quinte, Karl-Uwe Stucky, Wolfgang Süß
      Pages 1031-1040
    4. Hitoshi Kanoh, Souichi Tsukahara
      Pages 1041-1050
    5. Jens Kroeske, Adam Ghandar, Zbigniew Michalewicz, Frank Neumann
      Pages 1051-1060
    6. William B. Langdon, Andrew P. Harrison
      Pages 1061-1070
    7. Peter R. Lewis, Paul Marrow, Xin Yao
      Pages 1071-1080
    8. Malte Römmermann, Mark Edgington, Jan Hendrik Metzen, Jose de Gea, Yohannes Kassahun, Frank Kirchner
      Pages 1091-1100
    9. Yago Saez, Diego Perez, Oscar Sanjuan, Pedro Isasi
      Pages 1101-1110
    10. Ralf Salomon, Stefan Goldmann
      Pages 1111-1119
    11. Roberto Santana, Pedro Larrañaga, Jose A. Lozano
      Pages 1120-1129
    12. Muhammad Shahzad, Saira Zahid, Muddassar Farooq
      Pages 1130-1139
    13. Özgür Ülker, Emin Erkan Korkmaz, Ender Özcan
      Pages 1140-1149
  2. Back Matter

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 10th International Conference on Parallel Problem Solving from Nature, PPSN 2008, held in Dortmund, Germany, in September 2008.

The 114 revised full papers presented were carefully reviewed and selected from 206 submissions. The conference covers a wide range of topics, such as evolutionary computation, quantum computation, molecular computation, neural computation, artificial life, swarm intelligence, artificial ant systems, artificial immune systems, self-organizing systems, emergent behaviors, and applications to real-world problems. The paper are organized in topical sections on formal theory, new techniques, experimental analysis, multiobjective optimization, hybrid methods, and applications.

Keywords

artificial life evolution evolutionary computation multi-objective optimization optimization problem solving self-organizing system swarm intelligence

Editors and affiliations

  • Günter Rudolph
    • 1
  • Thomas Jansen
    • 2
  • Nicola Beume
    • 2
  • Simon Lucas
    • 3
  • Carlo Poloni
    • 4
  1. 1.Fakultät für InformatikTechnische Universität DortmundDortmundGermany
  2. 2.Fakultät für InformatikTechnische Universität DortmundDortmundGermany
  3. 3.Department of Computing and Electronic SystemsUniversity of EssexColchesterUK
  4. 4.Dipartimento di Ingegneria MeccanicaUniversità degli Studi di TriesteTriesteItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-87700-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-87699-1
  • Online ISBN 978-3-540-87700-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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