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Theoretical Aspects of Evolutionary Computing

  • Book
  • © 2001

Overview

Editors:
  1. Leila Kallel

    1. Ecole Polytechnique, CMAP, Palaiseau Cedex, France

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  2. Bart Naudts

    1. Departement Wiskunde & Informatica, Universiteit Antwerpen (RUCA), Antwerpen, Belgium

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    You can also search for this editor in PubMed   Google Scholar

  3. Alex Rogers

    1. Department of Electronics and Computer Science Highfield, University of Southampton, Southampton, UK

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    You can also search for this editor in PubMed   Google Scholar

  • A self-contained snapshot of the state of the art in the theory of Evolutionary Computing
  • Gives an overview of differing approaches to the theory of Evolutionary Algorithms
  • With extensive entry level tutorials written by leading experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Natural Computing Series (NCS)

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Table of contents (22 chapters)

  1. Front Matter

    Pages I-X
    Download chapter PDF

  3. Technical Papers

    1. A Solvable Model of a Hard Optimisation Problem

      • A. Rogers, A. Prügel-Bennett
      Pages 207-221

    2. Bimodal Performance Profile of Evolutionary Search and the Effects of Crossover

      • M. Oates, J. Smedley, D. Corne, R. Loader
      Pages 223-237

    3. Evolution Strategies in Noisy Environments — A Survey of Existing Work

      • D. V. Arnold
      Pages 239-249

    4. Cyclic Attractors and Quasispecies Adaptability

      • J. E. Rowe
      Pages 251-259

    5. Genetic Algorithms in Time-Dependent Environments

      • C. Ronnewinkel, C. O. Wilke, T. Martinetz
      Pages 261-285

    6. Statistical Machine Learning and Combinatorial Optimization

      • A. Berny
      Pages 287-306

    7. Multi-Parent Scanning Crossover and Genetic Drift

      • C. A. Schippers
      Pages 307-330

    8. Harmonic Recombination for Evolutionary Computation

      • F. J. Burkowski
      Pages 331-342

    9. How to Detect all Maxima of a Function

      • J. Garnier, L. Kallel
      Pages 343-370

    10. On Classifications of Fitness Functions

      • T. Jansen
      Pages 371-385

    11. Genetic Search on Highly Symmetric Solution Spaces: Preliminary Results

      • A. Marino
      Pages 387-407
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Keywords

About this book

During the first week of September 1999, the Second EvoNet Summer School on Theoretical Aspects of Evolutionary Computing was held at the Middelheim cam­ pus of the University of Antwerp, Belgium. Originally intended as a small get­ together of PhD students interested in the theory of evolutionary computing, the summer school grew to become a successful combination of a four-day workshop with over twenty researchers in the field and a two-day lecture series open to a wider audience. This book is based on the lectures and workshop contributions of this summer school. Its first part consists of tutorial papers which introduce the reader to a num­ ber of important directions in the theory of evolutionary computing. The tutorials are at graduate level andassume only a basic backgroundin mathematics and com­ puter science. No prior knowledge ofevolutionary computing or its theory is nec­ essary. The second part of the book consists of technical papers, selected from the workshop contributions. A number of them build on the material of the tutorials, exploring the theory to research level. Other technical papers may require a visit to the library.

Editors and Affiliations

  • Ecole Polytechnique, CMAP, Palaiseau Cedex, France

    Leila Kallel

  • Departement Wiskunde & Informatica, Universiteit Antwerpen (RUCA), Antwerpen, Belgium

    Bart Naudts

  • Department of Electronics and Computer Science Highfield, University of Southampton, Southampton, UK

    Alex Rogers

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