Optimization device, optimization method, and optimization program

A computer-implemented method for optimizing, comprising:

• constructing a model for representing a relationship among groups and for obtaining a prediction represented as a time series based on a set of groups of occurrence time points of reference events as events occurring before interventions and intervention timings as time points to cause the interventions and a set of evaluation values of the groups;
• acquiring one or more occurrence time points of the reference events and determining the next group including a next intervention timing based on the acquired occurrence time points of the reference events, the constructed model, and an acquisition function for obtaining the next intervention timing;
• performing the intervention at the next intervention timing in the determined next group and calculating the evaluation value of the group obtained as the next group;
• and
• causing construction of the model, determination of the group, and calculation of the evaluation value to be repeated until a predetermined condition is satisfied, wherein
• in the repetition, the model is constructed based on the set of the groups and the set of the evaluation values which are obtained in each of the repeatedly performed interventions.

A computer-readable non-transitory recording medium storing computer-executable program instructions that when executed by a processor cause a computer to execute a method comprising:

• constructing a model for representing a relationship among groups and for obtaining a prediction represented as a time series based on a set of groups of occurrence time points of reference events as events occurring before interventions and intervention timings as time points to cause the interventions and a set of evaluation values of the groups;
• acquiring one or more occurrence time points of the reference events and determining the next group including a next intervention timing based on the acquired occurrence time points of the reference events, the constructed model, and an acquisition function for obtaining the next intervention timing;
• performing the intervention at the next intervention timing in the determined next group and calculating the evaluation value of the group obtained as the next group;
• and
• causing construction of the model, determination of the group, and calculation of the evaluation value to be repeated until a predetermined condition is satisfied, wherein in the repetition, the model is constructed based on the set of the groups and the set of the evaluation values which are obtained in each of the repeatedly performed interventions.