OBKA-FS: an oppositional-based binary kidney-inspired search algorithm for feature selection
Feature selection is a key step when building an automatic classification system. Numerous evolutionary algorithms applied to remove irrelevant features in order to make the classifier perform more accurate. Kidney-inspired search algorithm (KA) is a very modern evolutionary algorithm. The original...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Research Publishing Network
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/76660/1/MustafaKadhimTaqi2017_OBKA-FSanOppositionalbasedBinary.pdf http://eprints.utm.my/id/eprint/76660/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010206562&partnerID=40&md5=08d1e3a9cad45315a61ffdd7328e0a3a |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |