A Multi-Objective GRASP for Rule Selection

A. P. Reynolds, David W. Corne, Beatriz de la Iglesia

Research output: Contribution to conferencePaper

7 Citations (Scopus)

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.
Original languageEnglish
Pages643-650
Number of pages8
DOIs
Publication statusPublished - 2009
EventGenetic and Evolutionary Computational Conference (Gecco 2009) -
Duration: 1 Jan 2009 → …

Conference

ConferenceGenetic and Evolutionary Computational Conference (Gecco 2009)
Period1/01/09 → …

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