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Representations for Genetic and Evolutionary Algorithms

  • Book
  • © 2002

Overview

Authors:
  1. Franz Rothlauf

    1. Department of Information Systems, University of Bayreuth, Bayreuth, Germany

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  • A theory of representations is not taken as given, but is developed and applied to real-world problems of commercial importance
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 104)

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Table of contents (10 chapters)

  1. Front Matter

    Pages I-XIV
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  2. Introduction

    • Franz Rothlauf
    Pages 1-7

  3. Representations for Genetic and Evolutionary Algorithms

    • Franz Rothlauf
    Pages 9-30

  4. Three Elements of a Theory of Genetic and Evolutionary Representations

    • Franz Rothlauf
    Pages 31-75

  5. Time-Quality Framework for a Theory-Based Analysis and Design of Representations

    • Franz Rothlauf
    Pages 77-97

  6. Analysis of Binary Representations of Integers

    • Franz Rothlauf
    Pages 99-118

  7. Analysis of Tree Representations

    • Franz Rothlauf
    Pages 119-176

  8. Design of Tree Representations

    • Franz Rothlauf
    Pages 177-197

  9. Performance of Genetic and Evolutionary Algorithms on Tree Problems

    • Franz Rothlauf
    Pages 199-236

  10. Summary, Conclusions and Future Work

    • Franz Rothlauf
    Pages 237-243

  11. Optimal Communication Spanning Tree Test Instances

    • Franz Rothlauf
    Pages 245-261

  12. Back Matter

    Pages 263-290
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Keywords

About this book

In the field of genetic and evolutionary algorithms (GEAs), much theory and empirical study has been heaped upon operators and test problems, but problem representation has often been taken as given. This monograph breaks with this tradition and studies a number of critical elements of a theory of representations for GEAs and applies them to the empirical study of various important idealized test functions and problems of commercial import. The book considers basic concepts of representations, such as redundancy, scaling and locality and describes how GEAs'performance is influenced. Using the developed theory representations can be analyzed and designed in a theory-guided manner. The theoretical concepts are used as examples for efficiently solving integer optimization problems and network design problems. The results show that proper representations are crucial for GEAs'success.

Authors and Affiliations

  • Department of Information Systems, University of Bayreuth, Bayreuth, Germany

    Franz Rothlauf

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