Optaplanner中的公平性，但用小时代替轮班

Question

我在公平约束方面遇到了一些麻烦，我想确保员工得到：

• 周内的偶数班次。
• 总计偶数班次。

public int accumulateFairnessInHoursPerEmployeePerWeek(Week week)
    {
        //System.out.println("WEEK FAIRNESS CONSTRAINT:");
        int actualWorkload = 0;
        int totalAssignmentsDuringWeek = 0;
        for(Employee emp : getEmployees())
        {
            List<Assignment> assignmentsForEmployeeDuringWeek = new ArrayList<>();
            for(Assignment currentAss : getAssignmentsForSpecificWeek(week))
            {
                if(currentAss.getEmployee() == emp)
                {
                    assignmentsForEmployeeDuringWeek.add(currentAss);
                }
            }
            totalAssignmentsDuringWeek += getDurationForAssignments(assignmentsForEmployeeDuringWeek)/3600;
            actualWorkload += (int) Math.pow(getDurationForAssignments(assignmentsForEmployeeDuringWeek)/3600, 2);
            //System.out.println(emp.getName() + " has " + getDurationForAssignments(assignmentsForEmployeeDuringWeek)/3600 + " hours. Score: " + actualWorkload + " total: " + actualWorkload + " " + ass.getShift().getStartDate());
         }
        int idealWorkLoad = (int) Math.pow(totalAssignmentsDuringWeek, 2)/getEmployees().size();
        //System.out.println("IDEAL: " + idealWorkLoad + " ACTUAL: " + actualWorkload + " FAIRNESS: " + (actualWorkload -idealWorkLoad));
        return (actualWorkload - idealWorkLoad);
    }

    public int accumulateFairnessInHoursPerEmployeeInTotal()
    {
        System.out.println("TOTAL FAIRNESS CONSTRAINT:");
        int actualWorkload = 0;
        int totalDuration = 0;
        for(Employee emp : getEmployees())
        {
            List<Assignment> assignmentsForEmployee = new ArrayList<>();
            for(Assignment currentAss : getAssignments())
            {
                if(currentAss.getEmployee() == emp)
                {
                    assignmentsForEmployee.add(currentAss);
                }
            }
            totalDuration += getDurationForAssignments(assignmentsForEmployee)/3600;
            actualWorkload += (int) Math.pow(getDurationForAssignments(assignmentsForEmployee)/3600, 2);
            System.out.println(emp.getName() + " has " + getDurationForAssignments(assignmentsForEmployee)/3600 + " hours. Score: " + actualWorkload);
        }
        int idealWorkLoad = (int) Math.pow(totalDuration, 2)/getEmployees().size();
        System.out.println("IDEAL: " + idealWorkLoad + " ACTUAL: " + actualWorkload + " FAIRNESS: " + (actualWorkload - idealWorkLoad));
        return (actualWorkload - idealWorkLoad);
    }

下面是口水：

rule "EvenWorkloadPerEmployeeTotal"
    when
        $service : Service
        (
            $service.accumulateFairnessInHoursPerEmployeeInTotal() != 0
        )

    then
        if(isDroolActivated(kcontext.getRule().getName(), $service))
        {
            setDroolRating(scoreHolder, kcontext, $service.getDroolStrength(drools), $service.accumulateFairnessInHoursPerEmployeeInTotal());
        }
end

rule "EvenWorkloadPerEmployeePerWeek"
    when
        $week : Week()
        $service : Service
        (
            $service.accumulateFairnessInHoursPerEmployeePerWeek($week) != 0
        )

    then
        if(isDroolActivated(kcontext.getRule().getName(), $service))
        {
            setDroolRating(scoreHolder, kcontext, $service.getDroolStrength(drools), $service.accumulateFairnessInHoursPerEmployeePerWeek($week));
        }
end

它似乎大部分时间都在工作，尤其是在较小的数据集中。然而，当我使用更大的数据集时...这是我的结果：

• A为76.0小时。得分:5776
• B为118.0小时。得分:19700
• C为76.0小时。得分:25476
• D为83.0小时。得分:32365
• E为88.0小时。得分:40109
• F为72.0小时。得分:45293
• G为68.0小时。得分:49917
• h为64.0小时。得分:54013
• 我有96.0小时。得分:63229
• J为94.0小时。得分:72065
• K为92.0小时。得分:80529
• L为67.0小时。得分:85018
• M为98.0小时。得分:94622
• n为95.0小时。得分:103647
• O为101.0小时。得分:113848
• P为90.0小时。得分:121948
• Q为93.0小时。得分:130597
• R为108.0小时。得分:142261
• S有124.0小时。得分:157637
• T为116.0小时。得分:171093

我同时使用这些约束，但不涉及其他约束

Answer 1

看一下网球的例子，特别是这一行。

rule "fairAssignmentCountPerTeam"
    when
        accumulate(
            $t : Team()
            and accumulate(
                TeamAssignment(team == $t);
                $assignmentCount : count() // This could be a sum of hours too
            );
            $result : loadBalance($assignmentCount)
        )
    then
        scoreHolder.addMediumConstraintMatch(kcontext, - (int) $result.getMeanDeviationSquaredSumRootMillis());
end