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Parallel Problem Solving from Nature - PPSN IV

International Conference on Evolutionary Computation. The 4th International Conference on Parallel Problem Solving from Nature Berlin, Germany, September 22 - 26, 1996. Proceedings

  • Conference proceedings
  • © 1996

Overview

Editors:
  1. Hans-Michael Voigt
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  2. Werner Ebeling
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  3. Ingo Rechenberg
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  4. Hans-Paul Schwefel
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1141)

Included in the following conference series:

Conference proceedings info: PPSN 1996.

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Table of contents (103 papers)

  1. From recombination of genes to the estimation of distributions II. Continuous parameters

    • H. Mühlenbein, J. Bendisch, H. -M. Voigt
    Pages 188-197

  2. Searching in the presence of noise

    • Soraya Rana, L. Darrell Whitley, Ronald Cogswell
    Pages 198-207

  3. The density of states — A measure of the difficulty of optimisation problems

    • Helge Rosé, Werner Ebeling, Torsten Asselmeyer
    Pages 208-217

  4. On interactive evolutionary algorithms and stochastic mealy automata

    • Günter Rudolph
    Pages 218-226

  5. The influence of different coding schemes on the computational complexity of genetic algorithms in function optimization

    • Ralf Salomon
    Pages 227-235

  6. An analysis of the effects of neighborhood size and shape on local selection algorithms

    • Jayshree Sarma, Kenneth De Jong
    Pages 236-244

  7. Evolutionary computation at the edge of feasibility

    • Marc Schoenauer, Zbigniew Michalewicz
    Pages 245-254

  8. Dimensional analysis of allele-wise mixing revisited

    • Dirk Thierens
    Pages 255-265

  9. Gaussian diffusion in a simple genetic algorithm

    • Stefan Voget
    Pages 266-275

  10. Erroneous truncation selection — A breeder's decision making perspective

    • Hans-Michael Voigt, Heinz Mühlenbein
    Pages 276-285

  11. New crossover methods for sequencing problems

    • Tolga Aşveren, Paul Molitor
    Pages 287-299

  12. The effect of extensive use of the mutation operator on generalization in genetic programming using sparse data sets

    • Wolfgang Banzhaf, Frank D. Francone, Peter Nordin
    Pages 300-309

  13. On permutation representations for scheduling problems

    • Christian Bierwirth, Dirk C. Mattfeld, Herbert Kopfer
    Pages 310-318

  14. Multi-parent's niche: N-ary crossovers on NK-landscapes

    • A. E. Eiben, C. A. Schippers
    Pages 319-328

  15. A preliminary investigation into directed mutations in evolutionary algorithms

    • Adam Ghozeil, David B. Fogel
    Pages 329-335

  16. Heuristic crossovers for real-coded genetic algorithms based on fuzzy connectives

    • Francisco Herrera, Manuel Lozano
    Pages 336-345

  17. Are evolutionary algorithms improved by large mutations?

    • C. Kappler
    Pages 346-355

  18. Mutation by imitation in boolean evolution strategies

    • Michèle Sebag, Marc Schoenauer
    Pages 356-365

  19. Formal algorithms + formal representations =search strategies

    • Patrick D. Surry, Nicholas J. Radcliffe
    Pages 366-375

  20. A genetic algorithm with variable range of local search for tracking changing environments

    • F. Vavak, T. C. Fogarty, K. Jukes
    Pages 376-385
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  1. Parallel Problem Solving from Nature — PPSN IV

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About this book

This book constitutes the refereed proceedings of the International Conference on Evolutionary Computation held jointly with the 4th Conference on Parallel Problem Solving from Nature, PPSN IV, in Berlin, Germany, in September 1996.
The 103 revised papers presented in the volume were carefully selected from more than 160 submissions. The papers are organized in sections on basic concepts of evolutionary computation (EC), theoretical foundations of EC, modifications and extensions of evolutionary algorithms, comparison of methods, other metaphors, and applications of EC in a variety of areas like ML, NNs, engineering, CS, OR, and biology. The book has a comprehensive subject index.

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