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Bat Algorithm Based Hybrid Filter-Wrapper Approach

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dc.citedby13
dc.contributor.authorTaha A.M.en_US
dc.contributor.authorChen S.-D.en_US
dc.contributor.authorMustapha A.en_US
dc.contributor.authorid55699699200en_US
dc.contributor.authorid7410253413en_US
dc.contributor.authorid57200530694en_US
dc.date.accessioned2023-05-29T06:01:24Z
dc.date.available2023-05-29T06:01:24Z
dc.date.issued2015
dc.description.abstractThis paper presents a new hybrid of Bat Algorithm (BA) based on Mutual Information (MI) and Naive Bayes called BAMI. In BAMI, MI was used to identify promising features which could potentially accelerate the process of finding the best known solution. The promising features were then used to replace several of the randomly selected features during the search initialization. BAMI was tested over twelve datasets and compared against the standard Bat Algorithm guided by Naive Bayes (BANV). The results showed that BAMI outperformed BANV in all datasets in terms of computational time. The statistical test indicated that BAMI has significantly lower computational time than BANV in six out of twelve datasets, while maintaining the effectiveness. The results also showed that BAMI performance was not affected by the number of features or samples in the dataset. Finally, BAMI was able to find the best known solutions with limited number of iterations. � 2015 Ahmed Majid Taha et al.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo961494
dc.identifier.doi10.1155/2015/961494
dc.identifier.scopus2-s2.0-84945295734
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84945295734&doi=10.1155%2f2015%2f961494&partnerID=40&md5=94fcb23eb7cc1097fb62faa00137d79d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22503
dc.identifier.volume2015
dc.publisherHindawi Limiteden_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleAdvances in Operations Research
dc.titleBat Algorithm Based Hybrid Filter-Wrapper Approachen_US
dc.typeArticleen_US
dspace.entity.typePublication
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