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公开(公告)号:US20250093827A1
公开(公告)日:2025-03-20
申请号:US18963686
申请日:2024-11-28
Inventor: MIKIO USHIODA , NOBUO HARA
Abstract: Evaluation device (100) is a device that evaluates, by Bayesian optimization, unknown characteristic points corresponding to a plurality of candidate control points at a second time following a first time based on known characteristic points corresponding to controlled control points at the first time, the device including: reception controller (10) that acquires control result data (222) indicating the controlled control points at the first time and the known characteristic points at the first time, purpose data (212) indicating an optimization purpose, constraint condition data (213) indicating a constraint condition, and region reduction rule data (214); evaluation value calculating unit (12) that calculates an evaluation value of each of the plurality of unknown characteristic points based on control result data (222), purpose data (212), constraint condition data (213), and region reduction rule data (214); and evaluation value output unit (13) that outputs an evaluation value.
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公开(公告)号:US20250004461A1
公开(公告)日:2025-01-02
申请号:US18830634
申请日:2024-09-11
Inventor: MIKIO USHIODA , NOBUO HARA
IPC: G05B23/02
Abstract: Evaluation device (100A) is a device that evaluates, by Bayesian optimization, an unknown characteristic point corresponding to a candidate experimental point based on a known characteristic point corresponding to an experimented experimental point, the evaluation device including: reception controller (10A) that acquires experimental result data (222) indicating the experimented experimental point and the known characteristic point, objective data (212) indicating an optimization objective, constraint condition data (213) indicating a constraint condition, and region reduction rule data (214); evaluation value calculator (12A) that calculates an evaluation value of the unknown characteristic point based on experimental result data (222), objective data (212), constraint condition data (213), and region reduction rule data (214); and evaluation value output unit (13) that outputs the evaluation value, in which evaluation value calculator (12A) gives a weighting according to a degree of conformity of the constraint condition to the evaluation value for at least one objective characteristic.
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公开(公告)号:US20220067015A1
公开(公告)日:2022-03-03
申请号:US17396647
申请日:2021-08-06
Inventor: NOBUO HARA , MIKIO USHIODA , AKIHISA NAKAHASHI
IPC: G06F16/22
Abstract: An information processing method includes: creating a first table; calculating a first response surface using the first table in which an object variable is recorded, the object variable acquired when experimental conditions of a first control factor is fixed to a first level value; adding the experimental conditions of the first control factor in which the first level value is set to the first table when the first response surface does not include a target value related to the object variable; creating a second table by adding a plurality of combinations of the experimental conditions for each of the plurality of control factors in which a first plurality of level values are set and the first control factor in which a second plurality of level values are set to the first table; calculating a second response surface including the target value using the second table; and outputting the second response surface.
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公开(公告)号:US20220391737A1
公开(公告)日:2022-12-08
申请号:US17664418
申请日:2022-05-22
Inventor: MIKIO USHIODA , NOBUO HARA
Abstract: An evaluation device is a device that evaluates, by Bayesian optimization, an unknown characteristic point corresponding to a candidate experimental point based on a known characteristic point corresponding to an experimented experimental point, the device including: a reception controller that acquires experimental result data indicating the experimented experimental point and the known characteristic point, objective data indicating an optimization objective, and constraint-condition data indicating a constraint condition; an evaluation value calculator that calculates an evaluation value of an unknown characteristic point based on the experimental result data, the objective data, and the constraint-condition data; and an evaluation value output unit that outputs the evaluation value, in which the evaluation value calculator gives weighting according to a degree of compatibility of the constraint condition to an evaluation value for at least one objective characteristic.
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