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An island memetic differential evolution algorithm for the feature selection problem

Marinaki Magdalini, Marinakis Ioannis

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URIhttp://purl.tuc.gr/dl/dias/6637FE00-A33E-4030-8A20-2E076EC6FF61-
Identifierhttps://doi.org/10.1007/978-3-319-01692-4_3-
Languageen-
TitleAn island memetic differential evolution algorithm for the feature selection problemen
CreatorMarinaki Magdalinien
CreatorΜαρινακη Μαγδαληνηel
CreatorMarinakis Ioannisen
CreatorΜαρινακης Ιωαννηςel
PublisherSpringer Verlagen
Content SummaryThe Feature Selection Problem is an interesting and important topic which is relevant for a variety of database applications. This paper applies a hybridized version of the Differential Evolution algorithm, the Island Memetic Differential Evolution algorithm, for solving the feature subset selection problem while the Nearest Neighbor Classification method is used for the classification task. The performance of the proposed algorithm is tested using various benchmark datasets from the UCI Machine Learning Repository. The algorithm is compared with variants of the differential evolution algorithm, a particle swarm optimization algorithm, an ant colony optimization algorithm and a genetic algorithm and with a number of algorithms from the literature.en
Type of ItemΠερίληψη Δημοσίευσης σε Συνέδριοel
Type of ItemConference Paper Abstracten
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-28-
Date of Publication2013-
Bibliographic CitationM. Marinaki and Y. Marinakis, “An Island Memetic Differential Evolution Algorithm for the Feature Selection Problem”, in Nature Inspired Cooperative Strategies for Optimization, 2013, pp. 29-42. doi: 10.1007/978-3-319-01692-4_3 en

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