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Toshiba AI Technology Catalog

Placement and Design

Simulation optimization

Reduce the repetition of trials in manufacturing.

Discover good solutions with fewer trials, by combining Bayesian optimization with low-dimensionalization.
Used to increase efficiency of design operations; e.g., for thermal power turbines and wind turbines.

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Applications

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.

Inquiries

Contact the Toshiba Corporate Research & Development Center

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.

References:

Daiki Kiribuchi et.al.; “Modification of Bayesian optimization for efficient calibration of simulation models”; In 2020 Winter Simulation Conference (WSC),pp. 2821-2831, 2020.

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