Parallel Problem Solving from Nature - PPSN IX

9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings

  • Thomas Philip Runarsson
  • Hans-Georg Beyer
  • Edmund Burke
  • Juan J. Merelo-Guervós
  • L. Darrell Whitley
  • Xin Yao

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4193)

Table of contents

  1. Front Matter
  2. Theory

    1. Olivier Teytaud, Sylvain Gelly
      Pages 21-31
    2. Rui Li, Michael T. M. Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp, Thomas Bäck, Jouke Dijkstra et al.
      Pages 42-51
    3. Jens Jägersküpper, Tobias Storch
      Pages 52-61
    4. Nikolaus Hansen, Fabian Gemperle, Anne Auger, Petros Koumoutsakos
      Pages 62-71
    5. Hans-Georg Beyer, Silja Meyer-Nieberg
      Pages 72-81
    6. Yossi Borenstein, Riccardo Poli
      Pages 102-111
  3. New Algorithms

    1. Martin Pelikan, Alexander K. Hartmann, Kumara Sastry
      Pages 122-131
    2. Ofer M. Shir, Thomas Bäck
      Pages 142-151
    3. Shigeyoshi Tsutsui
      Pages 162-171
    4. Gang Li, Kin Hong Lee, Kwong Sak Leung
      Pages 172-181
    5. Uwe Aickelin, Edmund K. Burke, Jingpeng Li
      Pages 182-191

About these proceedings

Introduction

We are very pleased to present this LNCS volume, the proceedings of the 9th International Conference on Parallel Problem Solving from Nature (PPSN IX). PPSNisoneofthemostrespectedandhighlyregardedconferenceseriesinevo- tionary computation and natural computing / computation. This biennial event was ?rst held in Dortmund in 1990, and then in Brussels (1992), Jerusalem (1994), Berlin (1996), Amsterdam (1998), Paris (2000), Granada (2002), and Birmingham(2004).PPSNcontinuestobetheconferenceofchoicebyresearchers all over the world, who value its high quality. We received 255 paper submissions this year. After an extensive peer review process involving more than 1000 reviews, the programme committee selected the top 106 papers for inclusion in this volume and, of course, for presentation at the conference. This represents an acceptance rate of 42%. The papers included in this volume cover a wide range of topics, from e- lutionary computation to swarm intelligence and from bio-inspired computing to real-world applications. They represent some of the latest and best research in evolutionary and natural computation. Following the PPSN tradition, all - pers at PPSN IX were presented as posters. There were 7 sessions: each session consisting of around 15 papers. For each session, we covered as wide a range of topics as possible so that participants with di?erent interests could ?nd some relevant papers in every session.

Keywords

Scheduling adaptive systems algorithmic learning classifier systems evolution algorithms evolution strategies evolutionary algorithm evolutionary computing genetic algorithms genetic programming modeling modularity object oriented design programming robot

Editors and affiliations

  • Thomas Philip Runarsson
    • 1
  • Hans-Georg Beyer
    • 2
  • Edmund Burke
    • 3
  • Juan J. Merelo-Guervós
    • 4
  • L. Darrell Whitley
    • 5
  • Xin Yao
    • 6
  1. 1.Science InstituteUniversity of Iceland 
  2. 2.Vorarlberg University of Applied SciencesDornbirnAustria
  3. 3.Automated Scheduling, Optimisation and Planning Group, School of Computer Science & ITUniversity of NottinghamNottinghamUK
  4. 4.Depto. Arquitectura y Tecnologa de ComputadoresETS Ingeiera InformticaGranada
  5. 5.Colorado State UniversityFort CollinsUSA
  6. 6.University of BirminghamBirminghamUK

Bibliographic information

  • DOI https://doi.org/10.1007/11844297
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-38990-3
  • Online ISBN 978-3-540-38991-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book