Vol. 58 No. 1 (2021)   New Products & Technologies
Technical Papers

Design Advancement by Applying Bayesian Optimization to Numerical Analysis Techniques

KOKI TATEISHI
YUSUKE HAZUI
MIZUHO TAKEUCHI
OSAMU KUMAGAI

Mitsubishi Heavy Industries, Ltd. (MHI) applies optimization technology to product design that use numerical analysis techniques such as finite element analysis. However, the optimization calculation requires a considerable number of analysis executions, so there is a problem in that obtaining an optimum solution takes time in the case of a high-cost analysis model that requires several hours for a single analysis. We applied Bayesian optimization, which is an optimization technology, in an effort to solve this problem and made it possible to calibrate the analysis model in a short time. This report presents an outline of these efforts.