A Multi-Objective GRASP for Rule Selection

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

doi:10.1145/1569901.1569990

A Multi-Objective GRASP for Rule Selection

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

Research output: Contribution to conference › Paper

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 language	English
Pages	643-650
Number of pages	8
DOIs	https://doi.org/10.1145/1569901.1569990
Publication status	Published - 2009
Event	Genetic and Evolutionary Computational Conference (Gecco 2009) - Duration: 1 Jan 2009 → …

Conference

Conference	Genetic and Evolutionary Computational Conference (Gecco 2009)
Period	1/01/09 → …

Access to Document

10.1145/1569901.1569990

Cite this

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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.",

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