PSO-XGBoost-Based Method for In Situ Stress Inversion

To address the limited in situ stress data and poor nonlinear fitting of existing methods, a Particle Swarm Optimization (PSO)–XGBoost inversion approach is proposed. XGBoost effectively models complex relationships between finite element results and measured stresses, leveraging its strong nonlinea...

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Bibliographic Details

Published in:	Applied Sciences
Main Author:	Shuo Tian
Other Authors:	Jian Wang
Format:	Article
Language:	English
Published:	Multidisciplinary Digital Publishing Institute 2026
Subjects:	Hydraulic Fracturing and Reservoir Analysis Rock Mechanics and Modeling Geomechanics and Mining Engineering particle swarm optimization XGBoost hyperparameter optimization small datasets cross-validation
Online Access:	https://doi.org/10.3390/app16073268
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