Enhancement of backtracking search algorithm for identifying soil parameters-Reference-Cited by-同舟云学术

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Enhancement of backtracking search algorithm for identifying soil parameters

Published:2020-02-24 Issue:9 Volume:44 Page:1239-1261
ISSN:0363-9061
Container-title:International Journal for Numerical and Analytical Methods in Geomechanics
language:en
Short-container-title:Int J Numer Anal Methods Geomech

Author:

Jin Yin‐Fu¹,Yin Zhen‐Yu¹^ORCID

Affiliation:

1. Department of Civil and Environmental EngineeringThe Hong Kong Polytechnic University Hung Hom, Kowloon Hong Kong China

Funder

Research Grants Council (RGC) of Hong Kong

Publisher

Wiley

Subject

Mechanics of Materials,Geotechnical Engineering and Engineering Geology,General Materials Science,Computational Mechanics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nag.3059

Reference64 articles.

1. Selection of sand models and identification of parameters using an enhanced genetic algorithm

2. Investigation into MOGA for identifying parameters of a critical-state-based sand model and parameters correlation by factor analysis

3. Estimation of critical state-related formula in advanced constitutive modeling of granular material

4. UH model: three-dimensional unified hardening model for overconsolidated clays

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2. Parameter identification of minifrac numerical tests using a gradient boosting‐based proxy model and genetic algorithm;International Journal for Numerical and Analytical Methods in Geomechanics;2023-11-30

3. An Anisotropic Failure Criterion for Cross-anisotropic Soils;KSCE Journal of Civil Engineering;2023-07-31

4. Boosting particle swarm optimization by backtracking search algorithm for optimization problems;Swarm and Evolutionary Computation;2023-06

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