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Parallel Problem Solving from Nature — PPSN VII

7th International Conference Granada, Spain, September 7–11, 2002 Proceedings

  • Juan Julián Merelo Guervós
  • Panagiotis Adamidis
  • Hans-Georg Beyer
  • Hans-Paul Schwefel
  • José-Luis Fernández-Villacañas

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2439)

Table of contents

  1. Front Matter
    Pages I-XXIII
  2. Evolutionary Algorithms Theory

  3. Representation/Codification Issues

  4. Variation Operators: Analysis, New Techniques

    1. Hernán E. Aguirre, Kiyoshi Tanaka
      Pages 111-121
    2. Dirk Büche, Gianfranco Guidati, Peter Stoll, Petros Koumoutsakos
      Pages 122-131
    3. C. Hervás-Martínez, D. Ortiz-Boyer, N. García-Pedrajas
      Pages 153-161
    4. Márk Jelasity, Mike Preuβ, A. E. Eiben
      Pages 172-183
    5. D. Ortiz-Boyer, C. Hervás-Martínez, N. García-Pedrajas
      Pages 184-193
    6. Thomas Philip Runarsson
      Pages 194-203
    7. Günther R. Raidl, Gabriele Kodydek, Bryant A. Julstrom
      Pages 204-213
    8. René Thomsen, Thiemo Krink
      Pages 214-223
  5. Evolutionary Techniques: Coevolution

    1. R. Paul Wiegand, William C. Liles, Kenneth A. De Jong
      Pages 257-268
  6. Multiobjective Optimization

    1. Nicolas Jozefowiez, Frédéric Semet, El-Ghazali Talbi
      Pages 271-280
    2. Masahiro Kanazaki, Masashi Morikaw, Shigeru Obayashi, Kazuhiro Nakahashi
      Pages 281-287
    3. Nattavut Keerativuttitumrong, Nachol Chaiyaratana, Vara Varavithya
      Pages 288-297
    4. Marco Laumanns, Jiri Ocenasek
      Pages 298-307
  7. Evolutionary Algorithms: New Techniques

    1. Edmund Burke, Steven Gustafson, Graham Kendall, Natalio Krasnogor
      Pages 341-350
    2. Michael Emmerich, Alexios Giotis, Mutlu Özdemir, Thomas Bäck, Kyriakos Giannakoglou
      Pages 361-370
    3. Mario Giacobini, Marco Tomassini, Leonardo Vanneschi
      Pages 371-380
    4. Jeffrey Horn
      Pages 381-390
    5. Jutta Huhse, Thomas Villmann, Peter Merz, Andreas Zell
      Pages 391-400
    6. Pu Liu, Francis Lau, Michael J. Lewis, Cho-li Wang
      Pages 401-410
    7. Sean Luke, Liviu Panait
      Pages 411-421
    8. Sibylle D. Müller, Nikolaus Hansen, Petros Koumoutsakos
      Pages 422-431
    9. Cristian Munteanu, Agostinho Rosa
      Pages 432-441
    10. G. Romero, J. J. Merelo, P. A. Castillo, J. G. Castellano, M. G. Arenas
      Pages 442-451
    11. Rasmus K. Ursem
      Pages 462-471
  8. Hybrid Algorithms:Neurogenetic Algorithms, Evolutionary Techniques Applied to Neural Nets

    1. Lluís A. Belanche Muñoz
      Pages 475-484
    2. Julian Dorado, Juan R. Rabuñal, Antonino Santos, Alejandro Pazos, Daniel Rivero
      Pages 485-494
    3. V. M. Rivas, P. A. Castillo, J. J. Merelo
      Pages 505-514

About these proceedings

Introduction

We are proud to introduce the proceedings of the Seventh International C- ference on Parallel Problem Solving from Nature, PPSN VII, held in Granada, Spain, on 7–11 September 2002. PPSN VII was organized back-to-back with the Foundations of Genetic Algorithms (FOGA) conference, which took place in Torremolinos, Malaga, Spain, in the preceding week. ThePPSNseriesofconferencesstartedinDortmund,Germany[1].Fromthat pioneering meeting, the event has been held biennially, in Brussels, Belgium [2], Jerusalem, Israel [3], Berlin, Germany [4], Amsterdam, The Netherlands [5], and Paris, France [6]. During the Paris conference, several bids to host PPSN 2002 were put forward; it was decided that the conference would be held in Granada with Juan J. Merelo Guerv´ os as General Chairman. The scienti?c content of the PPSN conference focuses on problem-solving paradigms gleaned from natural models, with an obvious emphasis on those that display an innate parallelism, such as evolutionary algorithms and ant-colony optimization algorithms. The majority of the papers, however, concentrate on evolutionary and hybrid algorithms, as is shown in the contents of this book and itspredecessors.Thiseditionoftheconferenceproceedingshasalargesectionon applications,betheytoclassicalproblemsortoreal-worldengineeringproblems, which shows how bioinspired algorithms are extending their use in the realms of business and enterprise.

Keywords

Algorithms Automat algorithm automata coevolution evolution evolutionary algorithm learning optimization

Editors and affiliations

  • Juan Julián Merelo Guervós
    • 1
  • Panagiotis Adamidis
    • 2
  • Hans-Georg Beyer
    • 3
  • Hans-Paul Schwefel
    • 3
  • José-Luis Fernández-Villacañas
    • 4
  1. 1.Escuela Técnica Superior de Ingeniería InformáticaGranadaSpain
  2. 2.Department of InformaticsTechnological Educational Institute of ThessalonikiThessalonikiGreece
  3. 3.Department of Informatics XIUniversity of DortmundDortmundGermany
  4. 4.Department of Signal Theory and CommunicationsUniversidad Carlos IIIMadridSpain

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-45712-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2002
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-44139-7
  • Online ISBN 978-3-540-45712-1
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site
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