A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles

The aim of this research is to develop three soft-computing techniques, including adaptive-neuro-fuzzy inference system (ANFIS), genetic-programming (GP) tree-based, and simulated annealing–GP or SA–GP for prediction of the ultimate-bearing capacity ( Q ult ) of the pile. The collected database cons...

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Bibliographic Details
Published in:	Engineering with computers Vol. 37; no. 3; pp. 2111 - 2127
Main Authors:	Yong, Weixun, Zhou, Jian, Jahed Armaghani, Danial, Tahir, M. M., Tarinejad, Reza, Pham, Binh Thai, Van Huynh, Van
Format:	Journal Article
Language:	English
Published:	London Springer London 01.07.2021 Springer Nature B.V
Subjects:	Area CAE) and Design Calculus of Variations and Optimal Control; Optimization Classical Mechanics Computer Science Computer-Aided Engineering (CAD Control Cross-sections Driven piles Drop hammers Estimation Fuzzy logic Genetic algorithms Machine learning Math. Applications in Chemistry Mathematical and Computational Engineering Original Article Performance indices Pile bearing capacities Prediction models Predictions Sensitivity analysis Simulated annealing Systems Theory Hybrid SA–GP GP tree-based ANFIS Pile bearing capacity Predictive model
ISSN:	0177-0667, 1435-5663
Online Access:	Get full text
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