Coevolutionary Fuzzy Modeling

  • Carlos Andrés Peña Reyes

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3204)

Table of contents

  1. Front Matter
  2. Carlos Andrés Peña Reyes
    Pages 1-26
  3. Carlos Andrés Peña Reyes
    Pages 27-50
  4. Carlos Andrés Peña Reyes
    Pages 51-69
  5. Carlos Andrés Peña Reyes
    Pages 71-87
  6. Carlos Andrés Peña Reyes
    Pages 89-102
  7. Carlos Andrés Peña Reyes
    Pages 103-115
  8. Carlos Andrés Peña Reyes
    Pages 117-121
  9. Back Matter

About this book


Building on fuzzy logic and evolutionary computing, this book introduces fuzzy cooperative coevolution as a novel approach to systems design, conductive to explaining human decision process. Fuzzy cooperative coevolution is a methodology for constructing systems able to accurately predict the outcome of a decision-making process, while providing an understandable explanation of the underlying reasoning.

The central contribution of this work is the use of an advanced evolutionary technique, cooperative coevolution, for dealing with the simultaneous design of connective and operational parameters. Cooperative coevolution overcomes several limitations exhibited by other standard evolutionary approaches.

The applicability of fuzzy cooperative coevolution is validated by modeling the decision processes of three real-world problems, an iris data benchmark problem and two problems from breast cancer diagnosis.


Extension algorithms cooperative coevolution evolution evolutionary computation evolutionary fuzzy modeling evolutionary strategies fuzzy fuzzy logic fuzzy sets fuzzy system genetic algorithms genetic programming logic modeling

Authors and affiliations

  • Carlos Andrés Peña Reyes
    • 1
  1. 1.Swiss Federal Institute of Technology, Logic Systems Laboratory LSL - IC - EPFLLausanneSwitzerland

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-22994-0
  • Online ISBN 978-3-540-30118-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment