Multi-objective optimization of concrete mixture proportions using machine learning and metaheuristic algorithms

Junfei Zhang,Yimiao Huang,Yuhang Wang,Guowei Ma

Construction and Building Materials（2020）

引用 110|浏览6

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摘要

•BPNN has good prediction accuracy for UCS, while RF performs better in predicting slump.•PSO is efficient in tuning hyperparameters of machine learning models.•The Pareto front of the mixture optimization problem is obtained by MOPSO.

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关键词

Concrete,Multi-objective optimization,Machine learning,Particle swarm optimization,Compressive strength,Slump

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