Who: Zachary Cosenza & David E. Block
Published: October 27, 2020
Where: Engineering Optimization
Key Takeaway: A new machine learning algorithm could reduce the time and resources needed for complex experiments. The approach could be applied to optimizing cell culture media.
Cosenza, Z., & Block, D. E. (2020). A generalizable hybrid search framework for optimizing expensive design problems using surrogate models. Engineering Optimization, 1-14. doi:10.1080/0305215x.2020.1826466