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BCDDO: Binary Child Drawing Development Optimization

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Abstract

Child Drawing Development Optimization is a recently developed metaheuristic algorithm that has been demonstrated to perform well on multiple benchmark tests. In this paper, a binary Child Drawing Development Optimization (BCDDO) is proposed for wrapper feature selection. The proposed BCDDO is utilized to choose a subset of important features to reach the highest classification accuracy. Harris Hawk optimization, salp swarm algorithm, gray wolf optimization, and whale optimization algorithm are utilized to evaluate the effectiveness and efficiency of the suggested feature selection method. In the field of feature selection to improve classification accuracy, the proposed method has gained a considerable classification accuracy advantage over previously mentioned methods. Four datasets are used in this research work; breast cancer, moderate COVID, big COVID, and Iris using XGBoost classifier and the classification accuracies were (98.83%, 98.75%, 99.36%, and 96%), respectively, for the four mentioned datasets.

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Data availability

The datasets generated during and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.

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Acknowledgements

The authors would like to thank the University of Technology, Baghdad, and the University of Kurdistan Hewler for providing facilities for this research work.

Funding

This study was not funded.

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Authors and Affiliations

  1. Computer Sciences Department, University of Technology, Baghdad, Iraq

    Abubakr S. Issa & Yossra H. Ali

  2. Computer Science and Engineering, University of Kurdistan Hewler, Erbil, KR, Iraq

    Tarik A. Rashid

Authors
  1. Abubakr S. Issa
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  2. Yossra H. Ali
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  3. Tarik A. Rashid
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Contributions

A.S. and Y.H. wrote the main manuscript. T.A.R. reviewed the manuscript. Y.H. and T.A.R. supervised the project.

Corresponding author

Correspondence to Tarik A. Rashid.

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Issa, A.S., Ali, Y.H. & Rashid, T.A. BCDDO: Binary Child Drawing Development Optimization. J Supercomput (2024). https://doi.org/10.1007/s11227-024-06088-8

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