Applications of genetic algorithm in prediction of the best achievable combination of hardness and tensile strength for graphene reinforced magnesium alloy (AZ61) matrix composite-Reference-Cited by-同舟云学术

Applications of genetic algorithm in prediction of the best achievable combination of hardness and tensile strength for graphene reinforced magnesium alloy (AZ61) matrix composite

Published:2024-03 Issue: Volume:14 Page:100334
ISSN:2666-7207
Container-title:Results in Control and Optimization
language:en
Short-container-title:Results in Control and Optimization

Author:

Tiwari Amit^ORCID,Kumar Neeraj^ORCID,Banerjee M.K.^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Applied Mathematics,Control and Optimization,Modeling and Simulation,Control and Systems Engineering

Reference26 articles.

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4. Improvement of stretch formability and weakening the basal texture of Mg alloy by corrugated wide limit alignment and annealing process;Lu;J Mater Res Technol,2022

5. Multi-objective optimization for tandem cold rolling schedule;Yang;J Iron Steel Res Int,2010

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