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dc.contributor.authorMafarja, Majdi
dc.contributor.authorEleyan, Derar
dc.contributor.authorAbdullah, Salwani
dc.contributor.authorMirjalili, Seyedali
dc.identifier.citationMajdi Mafarja, Derar Eleyan, Salwani Abdullah, and Seyedali Mirjalili. 2017. S-Shaped vs. V-Shaped Transfer Functions for Ant Lion Optimization Algorithm in Feature Selection Problem. In Proceedings of the International Conference on Future Networks and Distributed Systems (ICFNDS '17). ACM, New York, NY, USA, Article 21, 7 pages. DOI:
dc.description.abstractFeature selection is an important preprocessing step for classification problems. It deals with selecting near optimal features in the original dataset. Feature selection is an NP-hard problem, so meta-heuristics can be more efficient than exact methods. In this work, Ant Lion Optimizer (ALO), which is a recent metaheuristic algorithm, is employed as a wrapper feature selection method. Six variants of ALO are proposed where each employ a transfer function to map a continuous search space to a discrete search space. The performance of the proposed approaches is tested on eighteen UCI datasets and compared to a number of existing approaches in the literature: Particle Swarm Optimization, Gravitational Search Algorithm and two existing ALO-based approaches. Computational experiments show that the proposed approaches efficiently explore the feature space and select the most informative features, which help to improve the classification accuracy.en_US
dc.subjectSelection theoremsen_US
dc.subjectComputational intelligenceen_US
dc.subjectData miningen_US
dc.subjectMachine learningen_US
dc.subjectTransfer functionsen_US
dc.subjectRough setsen_US
dc.subjectProgram transformation (Computer programming)en_US
dc.subjectAnt lion optimizer
dc.subjectProblem solving
dc.subjectSeparation of variables
dc.subject.lcshClassification rule mining
dc.subject.lcshAnt algorithms
dc.subject.lcshHeuristic algorithms
dc.subject.lcshMachine learning
dc.titleS-shaped vs. V-shaped transfer functions for ant lion optimization algorithm in feature selection problemen_US
dc.typeConference Proceedingsen_US
newfileds.departmentEngineering and Technologyen_US
newfileds.conferenceInternational Conference on Future Networks and Distributed Systems (2017 : Cambridge, GB)en_US
newfileds.general-subjectComputers and Information Technology | الحاسوب وتكنولوجيا المعلوماتen_US
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