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
Research output: Contribution to journal › Article › peer-review
105Scopus
citations
Fingerprint
Dive into the research topics of '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'. Together they form a unique fingerprint.