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dc.contributor.authorMafarja, Majdi M
dc.contributor.authorEleyan, Derar
dc.contributor.authorJaber, Iyad
dc.contributor.authorMirjalili, Seyedali
dc.contributor.authorHammouri, Abdelaziz
dc.contributor.editorAwajan, A
dc.contributor.editorShaout, A
dc.date.accessioned2018-08-20T01:30:29Z
dc.date.available2018-08-20T01:30:29Z
dc.date.issued2017
dc.identifier.isbn9781538605271
dc.identifier.doi10.1109/ICTCS.2017.43
dc.identifier.urihttp://hdl.handle.net/10072/378086
dc.description.abstractWrapper feature selection methods aim to reduce the number of features from the original feature set to and improve the classification accuracy simultaneously. In this paper, a wrapper-feature selection algorithm based on the binary dragonfly algorithm is proposed. Dragonfly algorithm is a recent swarm intelligence algorithm that mimics the behavior of the dragonflies. Eighteen UCI datasets are used to evaluate the performance of the proposed approach. The results of the proposed method are compared with those of Particle Swarm Optimization (PSO), Genetic Algorithms (GAs) in terms of classification accuracy and number of selected attributes. The results show the ability of Binary Dragonfly Algorithm (BDA) in searching the feature space and selecting the most informative features for classification tasks.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States
dc.relation.ispartofconferencenameInternational Conference on New Trends in Computing Sciences (ICTCS)
dc.relation.ispartofconferencetitle2017 INTERNATIONAL CONFERENCE ON NEW TRENDS IN COMPUTING SCIENCES (ICTCS)
dc.relation.ispartofdatefrom2017-10-11
dc.relation.ispartofdateto2017-10-13
dc.relation.ispartoflocationAmman, JORDAN
dc.relation.ispartofpagefrom12
dc.relation.ispartofpageto17
dc.relation.ispartofvolume2018-January
dc.subject.fieldofresearchEvolutionary computation
dc.subject.fieldofresearchcode460203
dc.titleBinary Dragonfly Algorithm for Feature Selection
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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gro.griffith.authorMirjalili, Seyedali


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    Contains papers delivered by Griffith authors at national and international conferences.

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