Examples with PerturbationPenalty org.cpsolver.exam.criteria.PerturbationPenalty used on opensource projects

Example 1 with PerturbationPenalty

use of org.cpsolver.exam.criteria.PerturbationPenalty in project cpsolver by UniTime.

the class Test method addCSVLine.

private static void addCSVLine(File file, String instance, String config, Solution<Exam, ExamPlacement> solution) {
    try {
        ExamModel model = (ExamModel) solution.getModel();
        Assignment<Exam, ExamPlacement> assignment = solution.getAssignment();
        boolean ex = file.exists();
        PrintWriter pw = new PrintWriter(new FileWriter(file, true));
        boolean mpp = ((PerturbationPenalty) model.getCriterion(PerturbationPenalty.class)).isMPP();
        int largeSize = ((LargeExamsPenalty) model.getCriterion(LargeExamsPenalty.class)).getLargeSize();
        RoomSplitDistancePenalty splitDistance = (RoomSplitDistancePenalty) model.getCriterion(RoomSplitDistancePenalty.class);
        ExamSplitter splitter = (ExamSplitter) model.getCriterion(ExamSplitter.class);
        PeriodViolation violPer = (PeriodViolation) model.getCriterion(PeriodViolation.class);
        RoomViolation violRoom = (RoomViolation) model.getCriterion(RoomViolation.class);
        DistributionViolation violDist = (DistributionViolation) model.getCriterion(DistributionViolation.class);
        DistanceToStronglyPreferredRoom distStrPref = (DistanceToStronglyPreferredRoom) model.getCriterion(DistanceToStronglyPreferredRoom.class);
        ExamRotationPenalty rotation = (ExamRotationPenalty) model.getCriterion(ExamRotationPenalty.class);
        DecimalFormat df = new DecimalFormat("0.00");
        if (!ex) {
            pw.println("SEED" + ",NA,DC,M2D,BTB" + (model.getBackToBackDistance() < 0 ? "" : ",dBTB") + ",iNA,iDC,iM2D,iBTB" + (model.getBackToBackDistance() < 0 ? "" : ",diBTB") + ",PP,RP,DP" + // Period Index, Rotation Penalty, Period Size
            ",PI,@P,PS" + // Room Size, Room Split, Room Split Distance
            ",RSz,RSp,RD" + (largeSize >= 0 ? ",LP" : "") + (mpp ? ",IP,IRP" : "") + (distStrPref == null ? "" : ",@D") + (splitter == null ? "" : ",XX") + (violPer == null ? "" : ",!P") + (violRoom == null ? "" : ",!R") + (violDist == null ? "" : ",!D") + ",INSTANCE,CONFIG");
            int nrStudentExams = 0;
            for (ExamStudent student : model.getStudents()) {
                nrStudentExams += student.variables().size();
            }
            int nrInstructorExams = 0;
            for (ExamInstructor instructor : model.getInstructors()) {
                nrInstructorExams += instructor.variables().size();
            }
            pw.println("MIN" + ",#EX,#RM,#PER," + (model.getBackToBackDistance() < 0 ? "" : ",") + ",#STD,#STDX,#INS,#INSX" + (model.getBackToBackDistance() < 0 ? "" : ",") + "," + model.getCriterion(PeriodPenalty.class).getBounds(assignment)[0] + "," + model.getCriterion(RoomPenalty.class).getBounds(assignment)[0] + "," + model.getCriterion(DistributionPenalty.class).getBounds(assignment)[0] + ",," + df.format(rotation.averagePeriod(assignment)) + "," + ",,," + (largeSize >= 0 ? ",0" : "") + (mpp ? ",," : "") + (distStrPref == null ? "" : ",") + (splitter == null ? "" : ",") + (violPer == null ? "" : ",") + (violRoom == null ? "" : ",") + (violDist == null ? "" : ",") + ",,");
            pw.println("MAX" + "," + model.variables().size() + "," + model.getRooms().size() + "," + model.getPeriods().size() + "," + (model.getBackToBackDistance() < 0 ? "" : ",") + "," + model.getStudents().size() + "," + nrStudentExams + "," + model.getInstructors().size() + "," + nrInstructorExams + (model.getBackToBackDistance() < 0 ? "" : ",") + "," + model.getCriterion(PeriodPenalty.class).getBounds(assignment)[1] + "," + model.getCriterion(RoomPenalty.class).getBounds(assignment)[1] + "," + model.getCriterion(DistributionPenalty.class).getBounds(assignment)[1] + ",," + rotation.nrAssignedExamsWithAvgPeriod(assignment) + "," + ",,," + (largeSize >= 0 ? "," + model.getCriterion(LargeExamsPenalty.class).getBounds(assignment)[1] : "") + (mpp ? ",," : "") + (distStrPref == null ? "" : ",") + (splitter == null ? "" : ",") + (violPer == null ? "" : "," + model.getCriterion(PeriodViolation.class).getBounds(assignment)[1]) + (violRoom == null ? "" : "," + model.getCriterion(RoomViolation.class).getBounds(assignment)[1]) + (violDist == null ? "" : "," + model.getCriterion(DistributionViolation.class).getBounds(assignment)[1]) + ",,");
        }
        pw.println(ToolBox.getSeed() + "," + model.getCriterion(StudentNotAvailableConflicts.class).getValue(assignment) + "," + model.getCriterion(StudentDirectConflicts.class).getValue(assignment) + "," + model.getCriterion(StudentMoreThan2ADayConflicts.class).getValue(assignment) + "," + model.getCriterion(StudentBackToBackConflicts.class).getValue(assignment) + (model.getBackToBackDistance() < 0 ? "" : "," + model.getCriterion(StudentDistanceBackToBackConflicts.class).getValue(assignment)) + "," + model.getCriterion(InstructorNotAvailableConflicts.class).getValue(assignment) + "," + model.getCriterion(InstructorDirectConflicts.class).getValue(assignment) + "," + model.getCriterion(InstructorMoreThan2ADayConflicts.class).getValue(assignment) + "," + model.getCriterion(InstructorBackToBackConflicts.class).getValue(assignment) + (model.getBackToBackDistance() < 0 ? "" : "," + model.getCriterion(InstructorDistanceBackToBackConflicts.class).getValue(assignment)) + "," + model.getCriterion(PeriodPenalty.class).getValue(assignment) + "," + model.getCriterion(RoomPenalty.class).getValue(assignment) + "," + model.getCriterion(DistributionPenalty.class).getValue(assignment) + "," + df.format(model.getCriterion(PeriodIndexPenalty.class).getValue(assignment) / assignment.nrAssignedVariables()) + "," + df.format(Math.sqrt(rotation.getValue(assignment) / rotation.nrAssignedExamsWithAvgPeriod(assignment)) - 1) + "," + df.format(model.getCriterion(PeriodSizePenalty.class).getValue(assignment) / assignment.nrAssignedVariables()) + "," + df.format(model.getCriterion(RoomSizePenalty.class).getValue(assignment) / assignment.nrAssignedVariables()) + "," + model.getCriterion(RoomSplitPenalty.class).getValue(assignment) + "," + df.format(splitDistance.nrRoomSplits(assignment) <= 0 ? 0.0 : splitDistance.getValue(assignment) / splitDistance.nrRoomSplits(assignment)) + (largeSize >= 0 ? "," + model.getCriterion(LargeExamsPenalty.class).getValue(assignment) : "") + (mpp ? "," + df.format(model.getCriterion(PerturbationPenalty.class).getValue(assignment) / assignment.nrAssignedVariables()) + "," + df.format(model.getCriterion(RoomPerturbationPenalty.class).getValue(assignment) / assignment.nrAssignedVariables()) : "") + (distStrPref == null ? "" : "," + df.format(distStrPref.getValue(assignment) / assignment.nrAssignedVariables())) + (splitter == null ? "" : "," + df.format(splitter.getValue(assignment))) + (violPer == null ? "" : "," + df.format(violPer.getValue(assignment))) + (violRoom == null ? "" : "," + df.format(violRoom.getValue(assignment))) + (violDist == null ? "" : "," + df.format(violDist.getValue(assignment))) + "," + instance + "," + config);
        pw.flush();
        pw.close();
    } catch (Exception e) {
        sLog.error("Unable to add CSV line to " + file, e);
    }
}