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Paper ID: 2706

Application of Evolutionary Computation to Constraint Satisfaction and Data Mining
van Hemert,J.I. ,

Appeared in: IPA Dissertation Series 2002-14,
Page Numbers:
Publisher: Leiden University
Year: 2002
ISBN/ISSN: 90-6734-057-X
Contributing Organisation(s):
Field of Science: e-Science

URL:

Abstract: A limited number of hardcopies is available for those who are interested, drop me an e-mail. Contents (chapter level): \begin{itemize} \item 1. Introduction \item 2. Evolutionary Computation \item Part I: Constraint Satisfaction \item 3. Constraint Satisfaction problems \item 4. Solving Constraint Satisfaction Problems \item 5. Empirical Research on Constraint Satisfaction \item 6. Measuring the Resampling Ratio \item 7. Constraint Satisfaction: Conclusions \item Part II: Data Mining \item 8. Introduction \item 9. Classification \item 10. Symbolic Regression \item 11. Data Mining Conclusions \item 12. Dynamic Behaviour \item 13. Bridging the Gap \item A. RandomCSP Library \item B. Library for Evolutionary Algorithm Programming \item C. Case Study: Scheduling a Telescope \end{itemize}

Keywords: constraint satisfaction, data mining, dynamic problems, evolutionary art,


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