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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
    4. Ryoji Tanabe, Alex Fukunaga
      Pages 201-210
  5. Coevolution and Artificial Immune Systems

    1. Jorge Gomes, Pedro Mariano, Anders Lyhne Christensen
      Pages 233-242
    2. Ayush Joshi, Jonathan E. Rowe, Christine Zarges
      Pages 243-251
  6. Constraint Handling

    1. Youhei Akimoto, Shinichi Shirakawa
      Pages 252-261
    2. Jérémie Labroquère, Aurélie Héritier, Annalisa Riccardi, Dario Izzo
      Pages 262-271
    3. Andrea Maesani, Dario Floreano
      Pages 272-281
  7. Dynamic and Uncertain Environments

  8. Estimation of Distribution Algorithms and Metamodelling

    1. Chung-Yao Chuang, Stephen F. Smith
      Pages 312-321
    2. Rafael Nogueras, Carlos Cotta
      Pages 322-331
    3. Olivier Regnier-Coudert, John McCall
      Pages 332-341
    4. Krzysztof L. Sadowski, Dirk Thierens, Peter A. N. Bosman
      Pages 342-351
    5. Ignacio Segovia Domínguez, Arturo Hernández Aguirre, S. Ivvan Valdez
      Pages 352-361
    6. Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein
      Pages 373-383
  9. Genetic Programming

    1. Brad Alexander, Brad Zacher
      Pages 384-393
    2. Alberto Bartoli, Simone Cumar, Andrea De Lorenzo, Eric Medvet
      Pages 394-403
    3. Chris R. Cox, Richard A. Watson
      Pages 404-413
    4. Radek Hrbacek, Vaclav Dvorak
      Pages 414-423
    5. Ting Hu, Wolfgang Banzhaf, Jason H. Moore
      Pages 424-433
    6. Krzysztof Krawiec, Armando Solar-Lezama
      Pages 434-443
    7. Fergal Lane, R. Muhammad Atif Azad, Conor Ryan
      Pages 444-453
    8. Ann Thorhauer, Franz Rothlauf
      Pages 465-475
    9. Andrew James Turner, Julian Francis Miller
      Pages 476-486
  10. Multi-objective Optimisation

    1. Hernán Aguirre, Arnaud Liefooghe, Sébastien Verel, Kiyoshi Tanaka
      Pages 487-497

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
  • Buy this book on publisher's site
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