A data-driven heuristic decision strategy for data-scarce optimization: with an application towards bio-based composites

Algorithmic optimization is a viable tool for solving complex materials engineering issues. In this study, a data-scarce Bayesian optimization model was developed to research the composition of bio-based composites. The proof-of-concept program adjusts the natural materials' weight ratios to optimize towards user-defined mechanical properties....

Automated dig-limit optimization through simulated annealing