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Smart Structures and Systems Volume 25, Number 6, June 2020 , pages 765-778 DOI: https://doi.org/10.12989/sss.2020.25.6.765 |
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Hybridized dragonfly, whale and ant lion algorithms in enlarged pile's behavior |
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Xinyu Ye, Zongjie Lyu and Loke Kok Foong
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| Abstract | ||
| The present study intends to find a proper solution for the estimation of the physical behaviors of enlarged piles through a combination of small-scale laboratory tests and a hybrid computational predictive intelligence process. In the first step, experimental program is completed considering various critical influential factors. The results of the best multilayer perceptron (MLP)-based predictive network was implemented through three mathematical-based solutions of dragonfly algorithm (DA), whale optimization algorithm (WOA), and ant lion optimization (ALO). Three proposed models, after convergence analysis, suggested excellent performance. These analyses varied based on neurons number (e.g., in the basis MLP hidden layer) and of course, the level of its complexity. The training R2 results of the best hybrid structure of DA-MLP, WOA-MLP, and ALO-MLP were 0.996, 0.996, and 0.998 where the testing R2 was 0.995, 0.985, and 0.998, respectively. Similarly, the training RMSE of 0.046, 0.051, and 0.034 were obtained for the training and testing datasets of DA-MLP, WOA-MLP, and ALO-MLP techniques, while the testing RMSE of 0.088, 0.053, and 0.053, respectively. This obtained result demonstrates the excellent prediction from the optimized structure of the proposed models if only population sensitivity analysis performs. Indeed, the ALO-MLP was slightly better than WOA-MLP and DA-MLP methods. | ||
| Key Words | ||
| smart structures; enlarged piles; WOA-MLP; DA-MLP; ALO-MLP; multilayer perceptron | ||
| Address | ||
| (1) Xinyu Ye: School of Civil Engineering, Central South University, Changsha 410075, China; (2) Zongjie Lyu: Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam; (3) Loke Kok Foong: Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam; (4) Loke Kok Foong: Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam. | ||