Examples with StudentEnrollmentSwapSelection org.cpsolver.studentsct.heuristics.selection.StudentEnrollmentSwapSelection used on opensource projects

Example 1 with StudentEnrollmentSwapSelection

use of org.cpsolver.studentsct.heuristics.selection.StudentEnrollmentSwapSelection in project cpsolver by UniTime.

the class StudentSctNeighbourSelection method setup.

public void setup(Solver<Request, Enrollment> solver) {
    if (iMPP)
        registerSelection(new AssignInitialSelection(solver.getProperties()));
    if (iPriorityStudentsFirstSelection && iPriorityStudentsFirstAllIn) {
        if (iUseCriticalCoursesSelection) {
            for (StudentPriority sp : StudentPriority.values()) {
                if (sp == StudentPriority.Normal)
                    break;
                for (int pr = 0; pr < iPriorityRounds; pr++) {
                    // last round >> include all students up to the selected priority
                    boolean includeHigherPriority = (iPriorityLastRoundAllStudents && sp.ordinal() > 0 && (pr + 1 == iPriorityRounds));
                    StudentFilter filter = new PriortyStudentFilter(sp, includeHigherPriority);
                    for (RequestPriority rp : RequestPriority.values()) {
                        for (int cr = 0; cr < iCriticalRounds; cr++) {
                            registerSelection(new CriticalCoursesBranchAndBoundSelection(solver.getProperties(), rp).withFilter(filter));
                            registerSelection(new CriticalBacktrackSelection(solver.getProperties(), rp).withFilter(filter));
                            registerSelection(new CriticalStandardSelection(solver.getProperties(), new UnassignedRequestSelection().withFilter(filter), getValueSelection(), rp));
                            registerSelection(new CriticalBacktrackSelection(solver.getProperties(), rp).withFilter(filter));
                        }
                    }
                }
            }
        } else {
            for (StudentPriority sp : StudentPriority.values()) {
                if (sp == StudentPriority.Normal)
                    break;
                for (int pr = 0; pr < iPriorityRounds; pr++) {
                    // last round >> include all students up to the selected priority
                    boolean includeHigherPriority = (iPriorityLastRoundAllStudents && sp.ordinal() > 0 && (pr + 1 == iPriorityRounds));
                    StudentFilter filter = new PriortyStudentFilter(sp, includeHigherPriority);
                    registerSelection(new BranchBoundSelection(solver.getProperties()).withFilter(filter));
                    registerSelection(new BacktrackSelection(solver.getProperties()).withFilter(filter));
                    registerSelection(new StandardSelection(solver.getProperties(), new UnassignedRequestSelection().withFilter(filter), getValueSelection()));
                    registerSelection(new BacktrackSelection(solver.getProperties()).withFilter(filter));
                }
            }
        }
    }
    if (iUseCriticalCoursesSelection) {
        for (RequestPriority rp : RequestPriority.values()) {
            if (rp == RequestPriority.Normal)
                break;
            for (int cr = 0; cr < iCriticalRounds; cr++) {
                registerSelection(new CriticalCoursesBranchAndBoundSelection(solver.getProperties(), rp));
                registerSelection(new CriticalBacktrackSelection(solver.getProperties(), rp));
                registerSelection(new CriticalStandardSelection(solver.getProperties(), getValueSelection(), rp));
                registerSelection(new CriticalBacktrackSelection(solver.getProperties(), rp));
            }
        }
    }
    if (iPriorityStudentsFirstSelection && !iPriorityStudentsFirstAllIn) {
        for (StudentPriority sp : StudentPriority.values()) {
            if (sp == StudentPriority.Normal)
                break;
            if (((StudentSectioningModel) solver.currentSolution().getModel()).getNbrStudents(sp) == 0)
                continue;
            for (int pr = 0; pr < iPriorityRounds; pr++) {
                // last round >> include all students up to the selected priority
                boolean includeHigherPriority = (iPriorityLastRoundAllStudents && sp.ordinal() > 0 && (pr + 1 == iPriorityRounds));
                StudentFilter filter = new PriortyStudentFilter(sp, includeHigherPriority);
                registerSelection(new BranchBoundSelection(solver.getProperties()).withFilter(filter));
                registerSelection(new BacktrackSelection(solver.getProperties()).withFilter(filter));
                registerSelection(new StandardSelection(solver.getProperties(), new UnassignedRequestSelection().withFilter(filter), getValueSelection()));
                registerSelection(new BacktrackSelection(solver.getProperties()).withFilter(filter));
            }
        }
    }
    if (iUseMinCreditSelection)
        registerSelection(new MinCreditBranchAndBoundSelection(solver.getProperties()));
    // Phase 1: section all students using incremental branch & bound (no
    // unassignments)
    registerSelection(iUseConstruction && !iUseMinCreditSelection ? new PriorityConstructionSelection(solver.getProperties()) : new BranchBoundSelection(solver.getProperties()));
    // Phase 2: pick a student (one by one) with an incomplete schedule, try
    // to find an improvement
    registerSelection(new SwapStudentSelection(solver.getProperties()));
    // Phase 3A: use backtrack neighbour selection
    registerSelection(new BacktrackSelection(solver.getProperties()));
    // Phase 3B: enrollment swap selection
    registerSelection(new StudentEnrollmentSwapSelection(solver.getProperties()));
    // Phase 4: use standard value selection for some time
    registerSelection(new StandardSelection(solver.getProperties(), getVariableSelection(), getValueSelection()));
    // Phase 5: pick a student (one by one) with an incomplete schedule, try
    // to find an improvement, identify problematic students
    SwapStudentSelection swapStudentSelection = new SwapStudentSelection(solver.getProperties());
    registerSelection(swapStudentSelection);
    // Phase 6: random unassignment of some problematic students
    registerSelection(new RndUnProblStudSelection(solver.getProperties(), swapStudentSelection));
    // Phase 7: resection incomplete students
    registerSelection(new ResectionIncompleteStudentsSelection(solver.getProperties()));
    // Phase 8: resection of students that were unassigned in step 6
    registerSelection(new ResectionUnassignedStudentsSelection(solver.getProperties()));
    // Phase 9: pick a student (one by one) with an incomplete schedule, try
    // to find an improvement
    registerSelection(new SwapStudentSelection(solver.getProperties()));
    // Phase 10: use standard value selection for some time
    registerSelection(new StandardSelection(solver.getProperties(), new RouletteWheelRequestSelection(solver.getProperties()), getValueSelection()));
    // Phase 11: pick a student (one by one) with an incomplete schedule,
    // try to find an improvement
    registerSelection(new SwapStudentSelection(solver.getProperties()));
    // Phase 12A: enrollment swap selection
    registerSelection(new StudentEnrollmentSwapSelection(solver.getProperties()));
    // Phase 12B: use backtrack neighbour selection
    registerSelection(new BacktrackSelection(solver.getProperties()));
    if (iShuffleStudentsSelection) {
        // Phase 13: try shuffling students around request groups
        registerSelection(new ShuffleStudentsSelection(solver.getProperties()));
        // Phase 14: use backtrack neighbour selection to fix unassignments from the previous phase
        registerSelection(new BacktrackSelection(solver.getProperties()));
    }
    // Phase 15: reset to best if no improvement has been done in the last cycle
    registerSelection(new RestoreBestSolution(solver.getProperties()));
    // Phase 16: use backtrack neighbour selection
    registerSelection(new BacktrackSelection(solver.getProperties()));
    // Phase 17: section all students using incremental branch & bound
    registerSelection(new BranchBoundSelection(solver.getProperties()));
    // Phase 18: random unassignment of some students
    registerSelection(new RandomUnassignmentSelection(solver.getProperties()));
}