A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection

Authors:
Caio C. O. Ramos;André N. Souza;Giovani Chiachia;Alexandre X. Falcão;João P. Papa
Affiliations:
Department of Electrical Engineering, University of São Paulo, São Paulo, Brazil;Department of Electrical Engineering, University of São Paulo, São Paulo, Brazil and Department of Electrical Engineering, UNESP - Univ Estadual Paulista, Bauru, Brazil;Institute of Computing, University of Campinas, Campinas, Brazil;Institute of Computing, University of Campinas, Campinas, Brazil;Department of Computing, UNESP - Univ Estadual Paulista, Bauru, Brazil
Venue:
Computers and Electrical Engineering
Year:
2011

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Abstract

Finding an optimal subset of features that maximizes classification accuracy is still an open problem. In this paper, we exploit the speed of the Harmony Search algorithm and the Optimum-Path Forest classifier in order to propose a new fast and accurate approach for feature selection. Comparisons to some other pattern recognition and feature selection techniques showed that the proposed hybrid algorithm for feature selection outperformed them. The experiments were carried out in the context of identifying non-technical losses in power distribution systems.