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An Empirical Study of Fuzzy rrDFCSPs

  • Ian Miguel
Part of the Distinguished Dissertations book series (DISTDISS)

Abstract

This chapter presents an empirical study of the solution of random fuzzy rrDFCSPs. The algorithms used are variants of the core branch and bound and Flexible Local Changes algorithms presented in the previous chapter. Due to the size of the study (almost 40,000 individual problems solved tens of times each), full results are presented separately in Appendix C. In this chapter, therefore, a selection has been made to show graphically and in tables where appropriate to reflect the general trend of the data as a whole.

Keywords

Problem Instance Constraint Propagation Dynamic Information Satisfaction Scale Previous Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Ian Miguel
    • 1
  1. 1.University of YorkUSA

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