This study presents the development of new empirical prediction models to evaluate swell
pressure and unconfined compression strength of expansive soils (P s UCS-ES) using three …

In this study, gene expression programming (GEP) and multi gene expression programming
(MEP) are utilized to formulate new prediction models for determining the compaction …

Bio-composites have become the prime material selection for green concrete because of the
increasing awareness of environmental issues. Due to their highly heterogenous nature …

In this article, detailed trials were undertaken to study the variation in genetic parameters in
order to formulate more robust predictive models using gene expression programming …

In the present study, an efficient bagging ensemble model based on two well-known
decision tree algorithms, namely, M5′ and Classification and Regression Trees (CART) is …

Evolutionary computation (EC) is a widely used computational intelligence that facilitates the
formulation of a range of complex engineering problems. This study tackled two hybrid EC …

In the current study, the performance of three evolutionary algorithms, differential algorithm
(DE), evolution strategy (ES), and biogeography-based optimization algorithm (BBO), is …

The central aim of this study is to evaluate the effect of polyethylene terephthalate (PET)
alongside two supplementary cementitious materials (SCMs)—ie, fly ash (FA) and silica …

In this study, a new explicit method has been suggested to predict the spectral acceleration
characteristic of strong ground-motions based on hybridizing genetic algorithm (GA) …

This study addresses the optimum cost design of mechanically stabilized earth (MSE) using
geosynthetics. The design process of MSEs is mathematically programmed based on an …