Solver Configurations

Operations

• • Add Solver Configuration (Alt+A)

    • • Add a new solver configuration in the Add Solver Configuration screen

Notes

As an example, here is a brief description of three configurations present in the online demo for course timetabling:

• • Check

    • • Purpose: Check if input data is consistent and whether there is a complete (feasible) timetable consistent with the input data

      • The solver does not optimize the solution

        • • Solution Comparator Weights are all set to 0

          • Placement Selection has most optimization parameters set to 0

          • The solver stops when a complete solution is found

  • Default

    • • Purpose: Create an optimized timetable consistent with the input data

        • • Most parameters have their default values

  • Interactive

    • • Purpose: Create a timetable manually and/or make changes to an existing timetable that do not need to be consistent with the input data

        • • It is allowed to break hard constraints (such as required/prohibited times/rooms)

          • The distribution preference "Different Time" is used for classes of the same instructional offering (such as lecture & lab that go together) instead of "Same Students" - this makes it possible to e.g. place a lecture to a place far away from the lab, which would not be possible with the "Same Students" constraint