A hybrid coevolutionary algorithm for designing fuzzy classifiers

  title={A hybrid coevolutionary algorithm for designing fuzzy classifiers},
  author={Minqiang Li and Zhichun Wang},
  journal={Inf. Sci.},
Rule learning is one of the most common tasks in knowledge discovery. In this paper, we investigate the induction of fuzzy classification rules for data mining purposes, and propose a hybrid genetic algorithm for learning approximate fuzzy rules. A novel niching method is employed to promote coevolution within the population, which enables the algorithm to discover multiple rules by means of a coevolutionary scheme in a single run. In order to improve the quality of the learned rules, a local… CONTINUE READING
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A Learning System Based on Genetic Adaptive Algorithms

  • S. F. Smith
  • Doctoral Dissertation, Department of Computer…
  • 1980
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