A single-objective EPR based model for creep index of soft clays considering L2 regularization

YF Jin, ZY Yin, WH Zhou, JH Yin, JF Shao - Engineering Geology, 2019 - Elsevier
A correlation of creep index (C α) with high performance is highly recommended for soft clay
engineering practice. Current empirical correlations are only acceptable for a few clays. This …

An intelligent multi-objective EPR technique with multi-step model selection for correlations of soil properties

YF Jin, ZY Yin - Acta Geotechnica, 2020 - Springer
Current multi-objective evolutionary polynomial regression (EPR) methodology has
difficulties on decision-making of optimal EPR model. This paper proposes an intelligent …

Evolutionary polynomial regression based modelling of clay compressibility using an enhanced hybrid real-coded genetic algorithm

ZY Yin, YF Jin, HW Huang, SL Shen - Engineering geology, 2016 - Elsevier
A new approach for evaluating the compressibility of remoulded clays using the evolutionary
polynomial regression (EPR) and optimization methods is proposed. An efficient hybrid real …

Evolutionary polynomial regression improved by regularization methods

Y Li, M Li, L Zhang - Plos one, 2023 - journals.plos.org
Evolutionary polynomial regression (EPR) is a data mining tool that has been widely used in
solving various geotechnical engineering problems. The fitness function is the core of EPR …

Optimization-based evolutionary polynomial regression

ZY Yin, YF Jin, ZY Yin, YF Jin - Practice of optimisation theory in …, 2019 - Springer
This chapter aims to propose a robust and effective evolutionary polynomial regression
(EPR) model for C α of clay. First, a database covering various clays is formed, in which 120 …

Identifying parameters of soils and selection of constitutive models using genetic algorithms

Y Jin - 2016 - theses.hal.science
The subject of this thesis is the identification of soil parameters and the selection of
constitutive models using genetic algorithms. First, various optimization methods for …

[引用][C] IDENTIFICATION LES PARAMÈTRES DES SOLS ET SÉLECTION DE MODÈLES DE COMPORTEMENT EN UTILISANT DES ALGORITHMES GÉNÉTIQUES

A DAOUADJI, Y RIOU