[HTML][HTML] A comprehensive comparison among metaheuristics (MHs) for geohazard modeling using machine learning: Insights from a case study of landslide …

J Ma, D Xia, Y Wang, X Niu, S Jiang, Z Liu… - … Applications of Artificial …, 2022 - Elsevier
Abstract Machine learning (ML) has been extensively applied to model geohazards, yielding
tremendous success. However, researchers and practitioners still face challenges in …

A comprehensive review of slope stability analysis based on artificial intelligence methods

W Gao, S Ge - Expert Systems with Applications, 2023 - Elsevier
For preventing landslide disasters caused by the slope collapse, it is crucial to research on
the investigation of slope stability. For the very complex influence factors on the slope …

Multiverse optimizer for structural damage detection: Numerical study and experimental validation

P Ghannadi, SS Kourehli - The Structural Design of Tall and …, 2020 - Wiley Online Library
New optimization algorithms have been increasingly developed in the course of the recent
years. The accuracy of identified results in optimization‐based damage detection methods …

Slope stability analysis using recent metaheuristic techniques: A comprehensive survey

M Mishra, VR Gunturi, TFDS Miranda - SN Applied Sciences, 2019 - Springer
In the framework of designing civil engineering structures such as dams and road
embankments, slope stability assessment is essential. Many slope stability assessment …

Application of harmony search algorithm to slope stability analysis

SS Haghshenas, SS Haghshenas, ZW Geem, TH Kim… - Land, 2021 - mdpi.com
Slope stability analysis is undoubtedly one of the most complex problems in geotechnical
engineering and its study plays a paramount role in mitigating the risk associated with the …

Toward state-of-the-art techniques in predicting and controlling slope stability in open-pit mines based on limit equilibrium analysis, radial basis function neural …

L Shang, H Nguyen, XN Bui, TH Vu, R Costache… - Acta Geotechnica, 2022 - Springer
This study aims to propose state-of-the-art techniques in predicting and controlling slope
stability in open-pit mines based on limit equilibrium analysis, artificial neural networks, and …

Optimum design of combined footings using swarm intelligence-based algorithms

AR Kashani, CV Camp, M Akhani, S Ebrahimi - Advances in Engineering …, 2022 - Elsevier
This study considers the optimum design of reinforced concrete combined footings. Analysis
and design procedures are developed based on the American Concrete Institute (ACI 318 …

A robust integrated Bayesian multi-model uncertainty estimation framework (IBMUEF) for quantifying the uncertainty of hybrid meta-heuristic in global horizontal …

A Seifi, M Ehteram, M Dehghani - Energy Conversion and Management, 2021 - Elsevier
Accurate and stable prediction of global horizontal irradiation (GHI) is vital for managing
energy systems, irrigation planning, and also decision making for future investment. Existing …

A new perspective on determination of the critical slip surface of three-dimensional slopes

J Sun, T Yu, P Dong - Computers and Geotechnics, 2022 - Elsevier
In the traditional slope stability analysis, the shape and location of critical slip surface (CSS)
are identified by an objective function with the minimum safety factor (SF). However, the …

Pseudo-dynamic analysis of reinforced slope with anchor cables

J Sun, T Yu, P Dong - Soil Dynamics and Earthquake Engineering, 2022 - Elsevier
The anchor cable is an excellent reinforcement device for enhancing slope performance
subjected to earthquakes. Thus, this work combines the minimum potential energy principle …