Výsledky vyhledávání - "Tran-Hieu Nguyen"

Akademický článek

Weight optimization of steel lattice transmission towers based on Differential Evolution and machine learning classification technique

Autor: Tran-Hieu Nguyen, Anh-Tuan Vu

Publikováno v: Fracture and Structural Integrity, Vol 16, Iss 59, Pp 172-187 (2022)

Transmission towers are tall structures used to support overhead power lines. They play an important role in the electrical grids. There are several types of transmission towers in which lattice towers are the most common type. Designing steel lattic

Externí odkaz: https://doaj.org/article/6f77266e96ec44bb8fb681db8c9b8350

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Akademický článek

Comparison of Machine Learning Classifiers for Reducing Fitness Evaluations of Structural Optimization

Autor: Tran-Hieu Nguyen, Anh-Tuan Vu

Publikováno v: Journal of Soft Computing in Civil Engineering, Vol 5, Iss 4, Pp 57-73 (2021)

Metaheuristic algorithms have been widely used to solve structural optimization problems. Despite their powerful search capabilities, these algorithms often require a large number of fitness evaluations. Constructing a machine learning classifier to

Externí odkaz: https://doaj.org/article/354635fcf77e46fa8f23f1c2004a56e2

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Akademický článek

Evaluating structural safety of trusses using Machine Learning

Autor: Tran-Hieu Nguyen, Anh-Tuan Vu

Publikováno v: Frattura ed Integrità Strutturale, Vol 15, Iss 58, Pp 308-318 (2021)

In this paper, a machine learning-based framework is developed to quickly evaluate the structural safety of trusses. Three numerical examples of a 10-bar truss, a 25-bar truss, and a 47-bar truss are used to illustrate the proposed framework. Firstly

Externí odkaz: https://doaj.org/article/8a3c6e8abe57465e877c7b2bbe99313a

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Akademický článek

Speeding up Composite Differential Evolution for structural optimization using neural networks

Autor: Tran-Hieu Nguyen, Anh-Tuan Vu

Publikováno v: Journal of Information and Telecommunication, Vol 0, Iss 0, Pp 1-20 (2021)

Composite Differential Evolution (CoDE) is categorized as a (µ + λ)-Evolutionary Algorithm where each parent produces three trials. Thanks to that, the CoDE algorithm has a strong search capacity. However, the production of many offspring increases

Externí odkaz: https://doaj.org/article/b59811651775433f8c565b31fb94d1df

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