Binary Dragonfly Algorithm for Feature Selection

Majdi M. Mafarja, Derar Eleyan, Iyad Jaber, Abdelaziz Hammouri, Seyedali Mirjalili

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wrapper 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.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on New Trends in Computing Sciences, ICTCS 2017
EditorsArafat Awajan, Adnan Shaout
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages12-17
Number of pages6
ISBN (Electronic)9781538605271
DOIs
Publication statusPublished - 8 Jan 2018
Externally publishedYes
Event2017 International Conference on New Trends in Computing Sciences, ICTCS 2017 - Amman, Jordan
Duration: 11 Oct 201713 Oct 2017

Publication series

NameProceedings - 2017 International Conference on New Trends in Computing Sciences, ICTCS 2017
Volume2018-January

Conference

Conference2017 International Conference on New Trends in Computing Sciences, ICTCS 2017
CountryJordan
CityAmman
Period11/10/1713/10/17

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Keywords

  • classification
  • Dragonfly Algorithm
  • Optimization
  • Selection

Cite this

Mafarja, M. M., Eleyan, D., Jaber, I., Hammouri, A., & Mirjalili, S. (2018). Binary Dragonfly Algorithm for Feature Selection. In A. Awajan, & A. Shaout (Eds.), Proceedings - 2017 International Conference on New Trends in Computing Sciences, ICTCS 2017 (pp. 12-17). (Proceedings - 2017 International Conference on New Trends in Computing Sciences, ICTCS 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTCS.2017.43