Research Output
Improved Artificial Bee Colony Algorithm and its Application in Classification
  For improving the classification accuracy of the classifier, a novel classification methodology based on artificial bee colony algorithm is proposed for optimal feature and SVM parameters selection. In order to balance the ability of exploration and exploitation of traditional ABC algorithm, improvements are introduced for the generation of initial solution set and onlooker bee stage. The proposed algorithm is applied to four datasets with different attribute characteristics from UCI and efficiency of the algorithm is proved from the results.

  • Type:

    Article

  • Date:

    20 December 2018

  • Publication Status:

    Published

  • Publisher

    Fuji Technology Press Ltd.

  • DOI:

    10.20965/jrm.2018.p0921

  • Cross Ref:

    10.20965/jrm.2018.p0921

  • ISSN:

    0915-3942

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Wang, H., Wei, J., Wen, S., Yu, H., & Zhang, X. (2018). Improved Artificial Bee Colony Algorithm and its Application in Classification. Journal of Robotics and Mechatronics, 30(6), 921-926. https://doi.org/10.20965/jrm.2018.p0921

Authors

Keywords

artificial bee colony algorithm, classifier, SVM, UCI database, wrapper method

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