Prediction and multi-objective optimization of mechanical, economical, and environmental properties for strain-hardening cementitious composites (SHCC) based on automated machine learning and metaheuristic algorithms
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Title
Prediction and multi-objective optimization of mechanical, economical, and environmental properties for strain-hardening cementitious composites (SHCC) based on automated machine learning and metaheuristic algorithms
Authors
Keywords
Automated machine learning, Carbon footprint, Evolutionary algorithm, Multi-objective optimization, Strain-hardening cementitious composite (SHCC), Tree-based pipeline optimization
Journal
Journal of Cleaner Production
Volume 329, Issue -, Pages 129665
Publisher
Elsevier BV
Online
2021-11-11
DOI
10.1016/j.jclepro.2021.129665
References
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