A multiobjective GRASP for rule selection

  • Authors:
  • Alan P. Reynolds;David W. Corne;Beatriz de la Iglesia

  • Affiliations:
  • Heriot-Watt University, Edinburgh, Scotland Uk;Heriot-Watt University, Edinburgh, Scotland Uk;University of East Anglia, Norwich, England UK

  • Venue:
  • Proceedings of the 11th Annual conference on Genetic and evolutionary computation
  • Year:
  • 2009

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Abstract

This paper describes the application of a multiobjective GRASP to rule selection, where previously generated simple rules are combined to give rule sets that minimize complexity and misclassfication cost. As rule selection performance depends heavily on the diversity and quality of the previously generated rules, this paper also investigates a range of multiobjective approaches for creating this initial rule set and the effect on the quality of the resulting classifier.