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Multi-Objective Optimization of Powder Mixed Electrical Discharge Machining Parameters in the Processing of AZ31BMg Using a Soft Computing Approach Based on the Mixed-Variable Jaya Algorithm to Improve the Bio-Functionality

Crossref DOI link: https://doi.org/10.1007/s40033-025-00898-7

Published Online: 2025-05-26

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

Authors

Kumar, Sandeep https://orcid.org/0000-0002-3053-8501
Singh, Abhishek
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Text and Data Mining valid from 2025-05-26

Version of Record valid from 2025-05-26
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Article History

Received: 22 December 2024

Accepted: 16 April 2025

First Online: 26 May 2025

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: The authors have no relevant financial or non-financial interests to disclose.

: The researcher demonstrates that they have adhered to accepted ethical standards of a genuine research study.

: Individuals may consent to participate in a study.

: We declare that all material is the original work, and no further permissions are required.

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