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Interpretable Machine Learning and Genetic Algorithm-Based Optimization of Ultimate Tensile Strength And Melting Completion In Alloys Cover

Interpretable Machine Learning and Genetic Algorithm-Based Optimization of Ultimate Tensile Strength And Melting Completion In Alloys

Advances in Materials Science
Volume 25 (2025): Issue 4 (December 2025)
By: Safa Enes Türkoğlu and  Yusuf Uzunoğlu  
Open Access
|Dec 2025

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DOI: https://doi.org/10.2478/adms-2025-0022 | Journal eISSN: 2083-4799 | Journal ISSN: 1730-2439
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Language: English
Page range: 77 - 91
Submitted on: Sep 20, 2025
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Accepted on: Dec 9, 2025
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Published on: Dec 31, 2025
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
alloy design,
random forest regressor,
genetic algorithm,
interpretable machine learning
Related subjects:
Materials sciences,
Functional and smart materials

© 2025 Safa Enes Türkoğlu, Yusuf Uzunoğlu, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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