Early experiment stopping for batch Bayesian optimization in industrial processes

A system for real-time intervention of an industrial process, comprising:

• a hardware processor;
• and
• a memory device coupled with the hardware processor;
• the hardware processor configured to at least:
• search for a batch of candidate configurations for use by the industrial process, the batch of candidate configurations searched for by performing a batch Bayesian optimization (BBO);
• transmit the batch of candidate configurations to the industrial process to use in running the industrial process;
• receive from the industrial process a result of the run;
• use the result in the BBO to search for a next batch of candidate configurations;
• determine whether a stopping criterion is met, based on the next batch of candidate configurations and by applying a function to a BBO acquisition score;
• responsive to determining that the stopping criterion is met, terminate a search for the next batch of candidates and control the industrial process to stop running;
• and
• responsive to determining that the stopping criterion is not met, transmit the next batch of candidate configurations to the industrial process to use in running the industrial process and repeating using of the result in the BBO to search for a next batch of candidate configurations and determining of whether the stopping criterion is met.

A computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions readable by a device to cause the device to:

• search for a batch of candidate configurations for use by the industrial process, the batch of candidate configurations searched for by performing a batch Bayesian optimization (BBO);
• transmit the batch of candidate configurations to the industrial process to use in running the industrial process;
• receive from the industrial process a result of the run;
• use the result in the BBO to search for a next batch of candidate configurations;
• determine whether a stopping criterion is met, based on the next batch of candidate configurations and by applying a function to a BBO acquisition score;
• responsive to determining that the stopping criterion is met, terminate a search for the next batch of candidates, terminating the search controlling the industrial process to stop running;
• and
• responsive to determining that the stopping criterion is not met, transmit the next batch of candidate configurations to the industrial process to use in running the industrial process and repeat using of the result in the BBO to search for a next batch of candidate configurations and determining of whether the stopping criterion is met.