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Novel metaheuristic classification approach in developing mathematical model-based solutions predicting failure in shallow footing

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Abstract

This study evaluated and compared several novel classification approaches to develop the most reliable stability model-based solution in the prediction of shallow footing’s allowable settlement. By applying the biogeography-based algorithm, this study presents an optimized metaheuristic classification approach with mathematical-based multi-layer perceptron neural network and fuzzy inference system to achieve a better assessment of the recognition of a complex failure phenomenon. By the contribution of a large number of finite element simulation, and considering seven key factors, the settlement of a shallow footing placed on a two-layered soil was measured as the target variable. Then, to change into the classification method, two overall situations of stability or failure were considered for the proposed soil layer. The ensemble of BBO–MLP and BBO–FIS are developed, and the results are evaluated by well-known accuracy indices. The results showed that employing BBO helps both MLP and FIS to have a better analysis. Besides, referring to the obtained total ranking scores of 6, 5, 11, and 8, respectively, for the MLP, FIS, BBO–MLP, and BBO–FIS, the BBO–MLP found to be the most accurate model, followed by BBO–FIS, MLP, and FIS.

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Authors and Affiliations

  1. Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Hossein Moayedi

  2. Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Hossein Moayedi

  3. Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam

    Hoang Nguyen

  4. Centre of Tropical Geoengineering (Geotropik), School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

    Ahmad Safuan A. Rashid

Authors
  1. Hossein Moayedi
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  2. Hoang Nguyen
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  3. Ahmad Safuan A. Rashid
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Correspondence to Hossein Moayedi.

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Moayedi, H., Nguyen, H. & Rashid, A.S.A. Novel metaheuristic classification approach in developing mathematical model-based solutions predicting failure in shallow footing. Engineering with Computers 37, 223–230 (2021). https://doi.org/10.1007/s00366-019-00819-9

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  • DOI: https://doi.org/10.1007/s00366-019-00819-9

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