- Placement and Design
- Optimize parameters for thermal power turbine design.
- Optimize wind farm layout.
- Investigate compositions in drug discovery and new functional materials.
- Can be used to resolve problems where optimum parameters and combinations are determined by repeated trials.
Benchmarks, strengths, and track record
- Low-dimension Bayesian optimization technologies reduce the number of trials by 50% compared to conventional methods.
Please include the title “Toshiba AI Technology Catalog: Simulation optimization” or the URL in the inquiry text.
Please note that because this technology is currently the subject of R&D activities, immediate responses to inquiries may not be possible.
- Daiki Kiribuchi et.al.; “Modification of Bayesian optimization for efficient calibration of simulation models”; In 2020 Winter Simulation Conference (WSC),pp. 2821-2831, 2020.