Method and system for optimizing an objective heaving discrete constraints

A computing apparatus for optimizing an objective having discrete constraints using a dataset, the dataset comprising a plurality of aspects associated with the objective, the system comprising:

• a processor;
• and
• a memory storing instructions that, when executed by the processor, configure the apparatus to:
• receive the dataset, the objective, and constraints, the constraints comprising a set of discrete constraints;
• receive a seed solution to the discrete constraints in view of the objective;
• iteratively perform an optimization until a criteria is reached, the iteration comprising:
• determine a constraint space for each of the discrete constraints using a determination of a constraint satisfaction problem;
• and
• determine an optimized value of the objective using an optimization model, the optimization model taking as input the dataset and the constraint space;
• and
• output the optimized objective once the criteria is reached.

A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a computer, cause the computer to:

• receive a dataset, an objective, and constraints, the constraints comprising a set of discrete constraints;
• receive a seed solution to the discrete constraints in view of the objective;
• iteratively perform an optimization until a criteria is reached, the iteration comprising:
• determine a constraint space for each of the discrete constraints using a determination of a constraint satisfaction problem;
• and
• determine an optimized value of the objective using an optimization model, the optimization model taking as input the dataset and the constraint space;
• and
• output the optimized objective once the criteria is reached.