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

Cicek E, Guler E (2015) Bearing capacity of strip footing on reinforced layered granular soils. J Civ Eng Manag 21:605–614 Mosallanezhad M, Moayedi H (2017) Comparison analysis of bearing capacity approaches for the strip footing on layered soils. Arab J Sci Eng 42:3711–3722 Terzaghi K, Peck R, Mesri G (1943) Soil mechanics in engineering practice. Wiley, NewYork Frydman S, Burd H (1997) Numerical studies of bearing-capacity factor N γ. J Geotech Geoenviron Eng 123:20–29 Silvestri V (2003) A limit equilibrium solution for bearing capacity of strip foundations on sand. Can Geotech J 40:351–361 Lotfizadeh MR, Kamalian M (2016) Estimating bearing capacity of strip footings over two-layered sandy soils using the characteristic lines method. Int J Civ Eng 14:107–116 Florkiewicz A (1989) Upper bound to bearing capacity of layered soils. Can Geotech J 26:730–736 Michalowski RL, Shi L (1995) Bearing capacity of footings over two-layer foundation soils. J Geotech Eng 121:421–428 Dewaikar D, Mohapatra B (2003) Computation of bearing capacity factor Nγ-Prandtl’s mechanism. Soils Found 43:1–10 Ghazavi M, Eghbali AH (2008) A simple limit equilibrium approach for calculation of ultimate bearing capacity of shallow foundations on two-layered granular soils. Geotech Geol Eng 26:535–542 Keskin MS, Laman M (2013) Model studies of bearing capacity of strip footing on sand slope. KSCE J Civ Eng 17:699–711 Ziaee SA, Sadrossadat E, Alavi AH, Shadmehri DM (2015) Explicit formulation of bearing capacity of shallow foundations on rock masses using artificial neural networks: application and supplementary studies. Environ Earth Sci 73:3417–3431 Moayedi H, Moatamediyan A, Nguyen H, Bui X-N, Bui DT, Rashid ASA (2019) Prediction of ultimate bearing capacity through various novel evolutionary and neural network models. Eng Comput 35:1–17 Bui X-N, Moayedi H, Safuan ARA (2019) Developing a predictive method based on optimized M5Rules–GA predicting heating load of an energy-efficient building system. Eng Comput 36:1–10 Liu L, Moayedi H, Rashid ASA, Rahman SSA, Nguyen H (2019) Optimizing an ANN model with genetic algorithm (GA) predicting load-settlement behaviours of eco-friendly raft-pile foundation (ERP) system. Eng Comput 36:1–13 Moayedi H, Hayati S (2018) Modelling and optimization of ultimate bearing capacity of strip footing near a slope by soft computing methods. Appl Soft Comput 66:208–219 Moayedi H, Mosallanezhad M, Mehrabi M, Safuan ARA (2018) A systematic review and meta-analysis of artificial neural network application in geotechnical engineering: theory and applications. Neural Comput Appl 31:1–24 Gao W, Guirao JLG, Basavanagoud B, Wu J (2018) Partial multi-dividing ontology learning algorithm. Inf Sci 467:35–58 Alnaqi AA, Moayedi H, Shahsavar A, Nguyen TK (2018) Prediction of energetic performance of a building integrated photovoltaic/thermal system thorough artificial neural network and hybrid particle swarm optimization models. Energy Convers Manage 183:137–148 Moayedi H, Mosallanezhad M, Mehrabi M, Safuan ARA, Biswajeet P (2019) Modification of landslide susceptibility mapping using optimized PSO-ANN technique. Eng Comput 35:967–984 Nguyen H, Bui X-N, Moayedi H (2019) A comparison of advanced computational models and experimental techniques in predicting blast-induced ground vibration in open-pit coal mine. Acta Geophys 28:1–13 Simon D (2008) Biogeography-based optimization. IEEE Trans Evol Comput 12:702–713 McCulloch WS, Pitts W (1943) A logical calculus of the ideas immanent in nervous activity. Bull Math Biophys 5:115–133 Gao W, Guirao JLG, Abdel-Aty M, Xi W (2019) An independent set degree condition for fractional critical deleted graphs. Discrete Continuous Dyn Syst-S 12:877–886 Nguyen H, Drebenstedt C, Bui X-N, Bui DT (2019) Prediction of blast-induced ground vibration in an open-pit mine by a novel hybrid model based on clustering and artificial neural network. Nat Resour Res 28:1–19 Gao W, Wang W, Dimitrov D, Wang Y (2018) Nano properties analysis via fourth multiplicative ABC indicator calculating. Arab J Chem 11:793–801 Nguyen H, Jamali Moghadam M, Moayedi H (2019) Agricultural wastes preparation, management and applications in engineering: a review. J Mater Cycles Waste Manage 21:1–13 Nguyen H, Mehrabi M, Kalantar B, Moayedi H, Muazu MA (2019) Potential of hybrid evolutionary approaches for assessment of geo-hazard landslide susceptibility mapping. Geomatics Nat Hazards Risk 10:1667–1693 Nguyen H, Moayedi H, Sharifi A, Amizah WJW, Safuan ARA (2019) Proposing a novel predictive technique using M5Rules-PSO model estimating cooling load in energy-efficient building system. Eng Comput 35:1–11 Shang Y, Nguyen H, Bui X-N, Tran Q-H, Moayedi H (2019) A novel artificial intelligence approach to predict blast-induced ground vibration in open-pit mines based on the firefly algorithm and artificial neural network. Nat Resour Res 28:1–15 Gao W, Wu H, Siddiqui MK, Baig AQ (2018) Study of biological networks using graph theory. Saudi J Biol Sci 25:1212–1219 Wang B, Moayedi H, Nguyen H, Foong LK, Rashid ASA (2019) Feasibility of a novel predictive technique based on artificial neural network optimized with particle swarm optimization estimating pullout bearing capacity of helical piles. Eng Comput 36:1–10 Yuan C, Moayedi H (2019) The performance of six neural-evolutionary classification techniques combined with multi-layer perception in two-layered cohesive slope stability analysis and failure recognition. Eng Comput 36:1–10 Zhang X, Nguyen H, Bui X, Tran Q, Nguyen D, Bui D, Moayedi H (2019) Novel soft computing model for predicting blast-induced ground vibration in open-pit mines based on particle swarm optimization and XGBoost. Nat Resour Res 28:1–11 Moayedi H, Hayati S (2018) Applicability of a CPT-based neural network solution in predicting load-settlement responses of bored pile. Int J Geomech 18:06018009 Moayedi H, Hayati S (2018) Artificial intelligence design charts for predicting friction capacity of driven pile in clay. Neural Comput Appl 31:1–17 Jang J-S (1993) ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybern 23:665–685 Moayedi H, Raftari M, Sharifi A, Jusoh WAW, Rashid ASA (2019) Optimization of ANFIS with GA and PSO estimating α ratio in driven piles. Eng Comput 35:1–12