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Parallel Problem Solving from Nature - PPSN VII

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

  • Conference proceedings
  • © 2002

Overview

Editors:
  1. Juan Julián Merelo Guervós

    1. Escuela Técnica Superior de Ingeniería Informática, Granada, Spain

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  2. Panagiotis Adamidis

    1. Department of Informatics, Technological Educational Institute of Thessaloniki, Thessaloniki, Greece

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  3. Hans-Georg Beyer

    1. Department of Informatics XI, University of Dortmund, Dortmund, Germany

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  4. Hans-Paul Schwefel

    1. Department of Informatics XI, University of Dortmund, Dortmund, Germany

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  5. José-Luis Fernández-Villacañas

    1. Department of Signal Theory and Communications, Universidad Carlos III, Madrid, Spain

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

Included in the following conference series:

Conference proceedings info: PPSN 2002.

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Table of contents (90 papers)

  1. Evolutionary Algorithms: New Techniques

    1. Fighting Bloat with Nonparametric Parsimony Pressure

      • Sean Luke, Liviu Panait
      Pages 411-421

    2. Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations

      • Sibylle D. Müller, Nikolaus Hansen, Petros Koumoutsakos
      Pages 422-431

    3. Adaptive Reservoir Genetic Algorithm with On-Line Decision Making

      • Cristian Munteanu, Agostinho Rosa
      Pages 432-441

    4. Genetic Algorithm Visualization Using Self-organizing Maps

      • G. Romero, J. J. Merelo, P. A. Castillo, J. G. Castellano, M. G. Arenas
      Pages 442-451

    5. Generalised Regression GA for Handling Inseparable Function Interaction: Algorithm and Applications

      • Rajkumar Roy, Ashutosh Tiwari
      Pages 452-461

    6. Diversity-Guided Evolutionary Algorithms

      • Rasmus K. Ursem
      Pages 462-471

  2. Hybrid Algorithms:Neurogenetic Algorithms, Evolutionary Techniques Applied to Neural Nets

    1. Evolutionary Optimization of Heterogeneous Problems

      • Lluís A. Belanche Muñoz
      Pages 475-484

    2. Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic Programming

      • Julian Dorado, Juan R. Rabuñal, Antonino Santos, Alejandro Pazos, Daniel Rivero
      Pages 485-494

    3. Learning and Evolution by Minimization of Mutual Information

      • Yong Liu, Xin Yao
      Pages 495-504

    4. Evolved RBF Networks for Time-Series Forecasting and Function Approximation

      • V. M. Rivas, P. A. Castillo, J. J. Merelo
      Pages 505-514

  3. Hybrid Algorithms: Memetic, Other

    1. Evolutive Identification of Fuzzy Systems for Time-Series Prediction

      • Jesús González, Ignacio Rojas, Héctor Pomares
      Pages 517-526

    2. HyGLEAM–An Approach to Generally Applicable Hybridization of Evolutionary Algorithms

      • Wilfried Jakob
      Pages 527-536

    3. Co-evolving Memetic Algorithms: Initial Investigations

      • Jim Smith
      Pages 537-546

  4. Learning Classifier Systems

    1. Consideration of Multiple Objectives in Neural Learning Classifier Systems

      • Larry Bull, Matt Studley
      Pages 549-557

    2. On Using Constructivism in Neural Classifier Systems

      • Larry Bull
      Pages 558-567

    3. Initial Modifications to XCS for Use in Interactive Evolutionary Design

      • Larry Bull, David Wyatt, Ian Parmee
      Pages 568-577

    4. First Results from Experiments in Fuzzy Classifier System Architectures for Mobile Robotics

      • A. G. Pipe, B. Carse
      Pages 578-587

    5. TCS Learning Classifier System Controller on a Real Robot

      • Jacob Hurst, Larry Bull, Chris Melhuish
      Pages 588-597

  5. Comparison of Different Techniques

    1. Comparing Synchronous and Asynchronous Cellular Genetic Algorithms

      • Enrique Alba, Mario Giacobini, Marco Tomassini, Sergio Romero
      Pages 601-610

    2. Satellite Range Scheduling: A Comparison of Genetic, Heuristic and Local Search

      • L. Barbulescu, A. E. Howe, J. P. Watson, L. D. Whitley
      Pages 611-620
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  1. Parallel Problem Solving from Nature — PPSN VII

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About this book

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.

Editors and Affiliations

  • Escuela Técnica Superior de Ingeniería Informática, Granada, Spain

    Juan Julián Merelo Guervós

  • Department of Informatics, Technological Educational Institute of Thessaloniki, Thessaloniki, Greece

    Panagiotis Adamidis

  • Department of Informatics XI, University of Dortmund, Dortmund, Germany

    Hans-Georg Beyer, Hans-Paul Schwefel

  • Department of Signal Theory and Communications, Universidad Carlos III, Madrid, Spain

    José-Luis Fernández-Villacañas

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