We solved the MIP optimization model. The characteristics of the models and solution times are given in the table below. We used SQLServer Express for data ETL purposes. Input and output data published in two datasets (Dataset: Podporozhye, Dataset: Estonia) in the MendeleyData repository. We will present the results at the IECF2021 conference in September.
| Estonia | Podporozhye | |
| Constraints | 2904 | 3203 |
| Variables | 2760 | 3112 |
| Binary | 2759 | 3111 |
| Nonzeros | 36890 | 20174 |
| CBC, s | 1.78 | 3.75 |
What is of interest to us as AIMMS users in this case study? The use of AIMMS Community Edition with open solver CBC to find solutions for scientific problems in the first approximation. In other words, AIMMS Community Edition allows us to test different models of the problem on a small data set.
Thanks to AIMMS B.V. for providing the licenses and unique software!