Sustainable Concrete via Bayesian Optimization

1 code implementation • 27 Oct 2023 • Sebastian Ament, Andrew Witte, Nishant Garg, Julius Kusuma

Herein, we 1) propose modeling steps that make concrete strength amenable to be predicted accurately by a Gaussian process model with relatively few measurements, 2) formulate the search for sustainable concrete as a multi-objective optimization problem, and 3) leverage the proposed model to carry out multi-objective BO with real-world strength measurements of the algorithmically proposed mixes.

Bayesian Optimization Experimental Design