This paper presents a new multi-stage genetic programming (MSGP) strategy for modeling
nonlinear systems. The proposed strategy is based on incorporating the individual effect of …

This study presents promising variants of genetic programming (GP), namely linear genetic
programming (LGP) and multi expression programming (MEP) to evaluate the liquefaction …

The goal of this study was to investigate a novel approach of predicting the ultimate capacity
of axially loaded circular concrete-filled steel tube (CCFST) columns. A hybrid intelligent …

Buried pipes are extensively used for oil transportation from offshore platforms. Under
unfavorable loading combinations, the pipe's uplift resistance may be exceeded, which may …

This paper presents an application of artificial neural networks (ANNs) in settlement
prediction of a foundation on sandy soil. In order to train the ANN model, a wide …

Undrained pullout capacity of suction caisson in clays with homogeneous and linearly
increasing strengths with depth was investigated by two-dimensional axisymmetric finite …

This paper presents an innovative hybrid approach for the estimation of the solar global
radiation. New prediction equations were developed for the global radiation using an …

This study proposes a new gene expression programming (GEP) approach for the prediction
of electricity demand. The annual population, gross domestic product, stock index, and total …

In this study, classical tree-based genetic programming (TGP) and its recent variants,
namely linear genetic programming (LGP) and gene expression programming (GEP) are …

In offshore platforms, the suction caisson is a critical component of the foundation system. A
single suction caisson failure could lead to the failure of the system. As a result, correctly …