A Multi-Objective GRASP for Rule Selection

Reynolds, Alan P., Corne, David W. and de la Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 (2009) A Multi-Objective GRASP for Rule Selection. In: Genetic and Evolutionary Computational Conference (Gecco 2009), 2009-01-01.

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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.

Item Type:	Conference or Workshop Item (Paper)
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023) Faculty of Science > Research Groups > Data Science and Statistics Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre
Depositing User:	Vishal Gautam
Date Deposited:	16 Mar 2011 11:14
Last Modified:	22 Apr 2023 02:43
URI:	https://ueaeprints.uea.ac.uk/id/eprint/21633
DOI:	10.1145/1569901.1569990

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