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Genetic algorithm-enhanced machine learning for predicting tensile strength and hardness of aluminum composite: A comparative optimization and SHAP analysis

Crossref DOI link: https://doi.org/10.1007/s11182-026-03705-2

Published Online: 2026-06-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Lolugu, Jagadish

Kaza, Mahesh

Reddy Kunduru, Venkateswara

Venkateswara Reddy, K.
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Text and Data Mining valid from 2026-06-02

Version of Record valid from 2026-06-02
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Article History

Received: 23 January 2026

Revised: 30 January 2026

Accepted: 6 February 2026

First Online: 2 June 2026

Declarations

:

: The authors declare that they have no potential conflict of interest in relation to the study in this paper.

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