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Parallel Problem Solving from Nature -- PPSN XIII

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

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Thomas Bartz-Beielstein

    1. Faculty of Computer and Engineering Sciences, Cologne University of Applied Sciences, Gummersbach, Germany

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  2. Jürgen Branke

    1. Warwick Business School, University of Warwick, Coventry, UK

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  3. Bogdan Filipič

    1. Department of Intelligent Systems, JožefStefan Institute, Ljubljana, Slovenia

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  4. Jim Smith

    1. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, UK

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

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: PPSN 2014.

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Table of contents (93 papers)

  1. Front Matter

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  2. Keynote Papers

    1. Some Computational Aspects of Robot Kinematic Redundancy

      • Jadran Lenarčič
      Pages 1-10

    2. Power Distribution Network Reconfiguration by Evolutionary Integer Programming

      • Kaifeng Yang, Michael T. M. Emmerich, Rui Li, Ji Wang, Thomas Bäck
      Pages 11-23

    3. In Vivo Veritas: Towards the Evolution of Things

      • Agoston Endre Eiben
      Pages 24-39

  3. Adaptation, Self-Adaptation and Parameter Tuning

    1. Online Black-Box Algorithm Portfolios for Continuous Optimization

      • Petr Baudiš, Petr Pošík
      Pages 40-49

    2. Shuffle and Mate: A Dynamic Model for Spatially Structured Evolutionary Algorithms

      • Carlos M. Fernandes, Juan L. J. Laredo, Juan Julian Merelo, Carlos Cotta, Rafael Nogueras, Agostinho C. Rosa
      Pages 50-59

    3. How to Assess Step-Size Adaptation Mechanisms in Randomised Search

      • Nikolaus Hansen, Asma Atamna, Anne Auger
      Pages 60-69

    4. Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ES

      • Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen
      Pages 70-79

    5. Run-Time Parameter Selection and Tuning for Energy Optimization Algorithms

      • Ingo Mauser, Marita Dorscheid, Hartmut Schmeck
      Pages 80-89

    6. Towards a Method for Automatic Algorithm Configuration: A Design Evaluation Using Tuners

      • Elizabeth Montero, María-Cristina Riff
      Pages 90-99

    7. Parameter Prediction Based on Features of Evolved Instances for Ant Colony Optimization and the Traveling Salesperson Problem

      • Samadhi Nallaperuma, Markus Wagner, Frank Neumann
      Pages 100-109

    8. Self-Adaptive Genotype-Phenotype Maps: Neural Networks as a Meta-Representation

      • Luís F. Simões, Dario Izzo, Evert Haasdijk, Agoston Endre Eiben
      Pages 110-119

    9. The Baldwin Effect Hinders Self-Adaptation

      • Jim Smith
      Pages 120-129

    10. On Low Complexity Acceleration Techniques for Randomized Optimization

      • Sebastian Urban Stich
      Pages 130-140

    11. Stopping Criteria for Multimodal Optimization

      • Simon Wessing, Mike Preuss, Heike Trautmann
      Pages 141-150

    12. VLR: A Memory-Based Optimization Heuristic

      • Hansang Yun, Myoung Hoon Ha, Robert Ian McKay
      Pages 151-160

  4. Classifier Systems, Differential Evolution and Swarm Intelligence

    1. A Differential Evolution Algorithm for the Permutation Flowshop Scheduling Problem with Total Flow Time Criterion

      • Valentino Santucci, Marco Baioletti, Alfredo Milani
      Pages 161-170

    2. A Taxonomy of Heterogeneity and Dynamics in Particle Swarm Optimisation

      • Harry Goldingay, Peter R. Lewis
      Pages 171-180

    3. Derivation of a Micro-Macro Link for Collective Decision-Making Systems

      • Heiko Hamann, Gabriele Valentini, Yara Khaluf, Marco Dorigo
      Pages 181-190

    4. Messy Coding in the XCS Classifier System for Sequence Labeling

      • Masaya Nakata, Tim Kovacs, Keiki Takadama
      Pages 191-200
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  1. Parallel Problem Solving from Nature – PPSN XIII

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About this book

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.

Editors and Affiliations

  • Faculty of Computer and Engineering Sciences, Cologne University of Applied Sciences, Gummersbach, Germany

    Thomas Bartz-Beielstein

  • Warwick Business School, University of Warwick, Coventry, UK

    Jürgen Branke

  • Department of Intelligent Systems, JožefStefan Institute, Ljubljana, Slovenia

    Bogdan Filipič

  • Department of Computer Science and Creative Technologies, University of the West of England, Bristol, UK

    Jim Smith

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