Parallel Problem Solving from Nature – PPSN XIII

13th International Conference, Ljubljana, Slovenia, September 13-17, 2014. Proceedings

  • Thomas Bartz-Beielstein
  • Jürgen Branke
  • Bogdan Filipič
  • Jim Smith

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8672)

Table of contents

  1. Front Matter
  2. Keynote Papers

    1. Kaifeng Yang, Michael T. M. Emmerich, Rui Li, Ji Wang, Thomas Bäck
      Pages 11-23
    2. Agoston Endre Eiben
      Pages 24-39
  3. Adaptation, Self-Adaptation and Parameter Tuning

    1. Carlos M. Fernandes, Juan L. J. Laredo, Juan Julian Merelo, Carlos Cotta, Rafael Nogueras, Agostinho C. Rosa
      Pages 50-59
    2. Nikolaus Hansen, Asma Atamna, Anne Auger
      Pages 60-69
    3. Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen
      Pages 70-79
    4. Ingo Mauser, Marita Dorscheid, Hartmut Schmeck
      Pages 80-89
    5. Luís F. Simões, Dario Izzo, Evert Haasdijk, Agoston Endre Eiben
      Pages 110-119
    6. Simon Wessing, Mike Preuss, Heike Trautmann
      Pages 141-150
    7. Hansang Yun, Myoung Hoon Ha, Robert Ian McKay
      Pages 151-160
  4. Classifier Systems, Differential Evolution and Swarm Intelligence

    1. Harry Goldingay, Peter R. Lewis
      Pages 171-180
    2. Heiko Hamann, Gabriele Valentini, Yara Khaluf, Marco Dorigo
      Pages 181-190
    3. Masaya Nakata, Tim Kovacs, Keiki Takadama
      Pages 191-200

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 13th International Conference on Parallel Problem Solving from Nature, PPSN 2013, held in Ljubljana, Slovenia, in September 2014.
The total of 90 revised full papers were carefully reviewed and selected from 217 submissions. The meeting began with 7 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN XIII also included 9 tutorials. The papers are organized in topical sections on adaption, self-adaption and parameter tuning; classifier system, differential evolution and swarm intelligence; coevolution and artificial immune systems; constraint handling; dynamic and uncertain environments; estimation of distribution algorithms and metamodelling; genetic programming; multi-objective optimisation; parallel algorithms and hardware implementations; real world applications; and theory.

Keywords

algorithm design artificial intelligence cellular automata evolutionary computation genetic programming machine learning nature-inspired optimization neural networks optimization with randomized search heuristics parallel algorithms parallel computation randomized local search self-organization swarm intelligence

Editors and affiliations

  • Thomas Bartz-Beielstein
    • 1
  • Jürgen Branke
    • 2
  • Bogdan Filipič
    • 3
  • Jim Smith
    • 4
  1. 1.Faculty of Computer and Engineering SciencesCologne University of Applied SciencesGummersbachGermany
  2. 2.Warwick Business SchoolUniversity of WarwickCoventryUK
  3. 3.Department of Intelligent SystemsJožefStefan InstituteLjubljanaSlovenia
  4. 4.Department of Computer Science and Creative TechnologiesUniversity of the West of EnglandBristolUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-10762-2
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-10761-5
  • Online ISBN 978-3-319-10762-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book