| { |
| "num_facilities": "<int> Total number of potential facility locations that may be opened.", |
| "num_customers": "<int> Total number of customers to be served.", |
| "budget_B": "<int> Maximum total opening cost allowed when selecting facilities in the Maximal Covering Location Problem.", |
| "covering_demand_fraction": "<float> Fraction of total demand that must be covered in the Partial Set Covering Location Problem.", |
| "covering_demand_D": "<float> Minimum total covered demand required in the Partial Set Covering Location Problem.", |
| "total_demand_D_bar": "<int> Sum of all customer demands across the entire customer set.", |
| "radius_of_coverage": "<float> Maximum Euclidean distance between a facility and a customer for the facility to cover that customer.", |
| "facility_cost": "<list[int], length num_facilities> Cost of opening each facility.", |
| "facility_coordinates": "<list[list[float]], shape [num_facilities][2]> Two-dimensional coordinates (x, y) of each potential facility location.", |
| "customer_coordinates": "<list[list[float]], shape [num_customers][2]> Two-dimensional coordinates (x, y) of each customer location.", |
| "customer_demands": "<list[int], length num_customers> Demand quantity associated with each customer.", |
| "facility_to_customers_coverage": "<dict, key: '{facility_index}'> List of customer indices that each facility can cover, where coverage means the Euclidean distance is within the coverage radius.", |
| "customer_to_facilities_coverage": "<dict, key: '{customer_index}'> List of facility indices that can cover each customer, where coverage means the Euclidean distance is within the coverage radius." |
| } |
|
|
