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Parallel Problem Solving from Nature-PPSN VI

6th International Conference, Paris, France, September 18-20 2000 Proceedings

  • Conference proceedings
  • © 2000

Overview

Editors:
  1. Marc Schoenauer

    1. CMAP, Ecole Polytechnique, Palaiseau Cedex, France

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  2. Kalyanmoy Deb

    1. Dept. of Mechanical Engineering Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology Kanpur, Kanpur, Pin, India

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  3. Günther Rudolph

    1. Fachbereich Informatik, Lehrstuhl für Systemanalyse, Universität Dortmund, Dortmund, Germany

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  4. Xin Yao

    1. School of Computer Science, The University of Birmingham, Edgbaston, Birmingham, UK

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  5. Evelyne Lutton

    1. Projet Fractales, INRIA Rocquencourt, Le Chesnay Cedex, France

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  6. Juan Julian Merelo

    1. Dept. de Arquitectura y Technologa de los Computadores, GeNeura Team, Universidad de Granada, Granada

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  7. Hans-Paul Schwefel

    1. Fachbereich Informatik, Lehrstuhl für Systemanalyse, Universität Dortmund, Dortmund, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1917)

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Table of contents (88 papers)

  1. Front Matter

    Pages I-XXI
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  3. Analysis and Theory of EAs

    1. Front Matter

      Pages 27-27
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    2. Cellular Evolutionary Algorithms: Evaluating the Influence of Ratio

      • Enrique Alba, José Ma Troya
      Pages 29-38

    3. Efficiency and Mutation Strength Adaptation of the (μ/μ I, λ)-ES in a Noisy Environment

      • Dirk V. Arnold, Hans-Georg Beyer
      Pages 39-48

    4. An Analysis of the Configuration Space of the Maximal Constraint Satisfaction Problem

      • Meriema Belaidouni, Jin-Kao Hao
      Pages 49-58

    5. On the Desired Behaviors of Self-Adaptive Evolutionary Algorithms

      • Hans-Georg Beyer, Kalyanmoy Deb
      Pages 59-68

    6. Practical Implications of New Results in Conservation of Optimizer Performance

      • Thomas M. English
      Pages 69-78

    7. Large Deviations, Evolutionary Computation and Comparisons of Algorithms

      • Olivier François
      Pages 79-88

    8. On the Choice of the Mutation Probability for the (1+1) EA

      • Thomas Jansen, Ingo Wegener
      Pages 89-98

    9. The Genetic Code-Like Transformations and Their Effect on Learning Functions

      • Hillol Kargupta
      Pages 99-108

    10. Perturbation Theory for Evolutionary Algorithms: Towards an Estimation of Convergence Speed

      • Yann Landrin-Schweitzer, Evelyne Lutton
      Pages 109-118

    11. Statistical Characteristics of Evolution Strategies

      • Yoshiyuki Matsumura, Kazuhiro Ohkura, Kanji Ueda
      Pages 119-128

    12. Consensus Sequence Plots and Error Thresholds: Tools for Visualising the Structure of Fitness Landscapes

      • Gabriela Ochoa
      Pages 129-138

    13. Experiments with Tuneable Fitness Landscapes

      • Colin R Reeves
      Pages 139-148

    14. Introducing a New Persistence Measure

      • Oliver Sharpe
      Pages 149-158

    15. An Analysis of Dynamic Severity and Population Size

      • Karsten Weicker
      Pages 159-168

    16. Functions as Permutations: Regarding No Free Lunch, Walsh Analysis and Summary Statistics

      • D. Whitley
      Pages 169-178
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Keywords

About this book

We are proud to introduce the proceedings of the Sixth International Conference on Parallel Problem Solving from Nature, PPSN VI, held in Paris, Prance, on 18-20 September 2000. PPSN VI was organized in association with the Genetic and Evolutionary Computing Conference (GECCO'2000) and the Congress on Evolutionary Computation (CEC'2000), reflecting the beneficial interaction between the conference activities in Europe and in the USA in the field of natural computation. Starting in 1990 in Dortmund, Germany (Proceedings, LNCS vol. 496, Sprin­ ger, 1991), this biannual meeting has been held in Brussels, Belgium (Procee­ dings, Elsevier, 1992), Jerusalem, Israel (Proceedings, LNCS vol. 866, Springer, 1994), Berlin, Germany (Proceedings, LNCS vol. 1141, Springer, 1996), and Amsterdam, The Netherlands (Proceedings, LNCS vol. 1498, Springer, 1998), where it was decided that Paris would be the location of the 2000 conference with Marc Schoenauer as the general chair. The scientific content of the PPSN conference focuses on problem solving pa­ radigms gleaned from a natural models. Characteristic for Natural Computing is the metaphorical use of concepts, principles and mechanisms underlying natural systems, such as evolutionary processes involving mutation, recombination, and selection in natural evolution, annealing or punctuated equilibrium processes of many-particle systems in physics, growth processes in nature and economics, collective intelligence in biology, DNA-based computing in molecular chemistry, and multi-cellular behavioral processes in neural and immune networks.

Editors and Affiliations

  • CMAP, Ecole Polytechnique, Palaiseau Cedex, France

    Marc Schoenauer

  • Dept. of Mechanical Engineering Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology Kanpur, Kanpur, Pin, India

    Kalyanmoy Deb

  • Fachbereich Informatik, Lehrstuhl für Systemanalyse, Universität Dortmund, Dortmund, Germany

    Günther Rudolph, Hans-Paul Schwefel

  • School of Computer Science, The University of Birmingham, Edgbaston, Birmingham, UK

    Xin Yao

  • Projet Fractales, INRIA Rocquencourt, Le Chesnay Cedex, France

    Evelyne Lutton

  • Dept. de Arquitectura y Technologa de los Computadores, GeNeura Team, Universidad de Granada, Granada

    Juan Julian Merelo

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