Drools OptaPlanner中具有HardSoftDoubleScore的DRL分数规则的分数损坏

你好

我尝试使用optaplanner解决一些优化问题，但出现了一些错误

版本：Optaplanner 6.5.1-快照

评分类型：硬-软双评分

评分方法：DRL

rule "Insert count collections per manager in same grade"
    salience 10
    when 
        $gradeClass: GradeInfo($grade: grade)
        $managerClass: ManagerInfo()
        accumulate(
            CollectionInfo(
                manager == $managerClass,
                $recoveryGrade: recoveryGrade == $grade),
            $count : count($recoveryGrade))
    then 
        insertLogical(new GradeStatic($gradeClass, $managerClass, $count.longValue()));
end

rule "Insert Compare total Receivables for each group"
    salience 10
    when 
        $groupClass: GroupInfo($groupId: groupId)
        $managerClass: ManagerInfo($managerName: name, groupId == $groupId)
        accumulate(
            CollectionInfo(
                manager == $managerClass,
                $receivables : receivables),
            $sum : sum($receivables))
    then 
        insertLogical(new GroupStatic($groupClass, $managerClass, $sum.doubleValue()));
end

// Hard constraints
rule "Hard Score 1 Weight And Receivables"
    when
        GroupStatic($highReceivable: totalReceivables, $weight: groupInfo.weight)
        GroupStatic(groupInfo.weight < $weight, $lowReceivable: totalReceivables)
        eval($highReceivable < $lowReceivable)
    then
        scoreHolder.addHardConstraintMatch(kcontext, -$lowReceivable);
end

rule "Hard Score 2-3 There is a manager who is not arranged collecion"
    when
        accumulate(
            GradeStatic(
                $arrangedManagerName: managerInfo.name),
            $arrangedManagerCnt : count($arrangedManagerName))
        accumulate(
            ManagerInfo($managerName: name),
            $managerCnt : count($managerName))
        accumulate(
            GradeInfo($grade: grade),
            $gradeCnt : count($grade))
        eval($arrangedManagerCnt < $managerCnt * $gradeCnt)
    then
        scoreHolder.addHardConstraintMatch(kcontext, -99999999.0);
end

// Soft constraints
rule "Calculate Soft Score"
    when
        GroupStatic($totalReceivables: totalReceivables, $weight: groupInfo.weight)
        accumulate(
            CollectionInfo(
                $receivables: receivables),
            $average: average($receivables))
    then
        System.out.println("Soft Score: "+ Math.abs($average.doubleValue() - ($totalReceivables / $weight))/1000000.0); 
        scoreHolder.addSoftConstraintMatch(kcontext, -(Math.abs($average.doubleValue() - ($totalReceivables / $weight)))/1000000.0);
end

我的修正点在哪里

---

请帮帮我~~^^

这两者有什么区别

• 0.0hard//-34.78590672782873soft
• 0.0hard//-34.78590677828745 soft

答：浮点运算导致的舍入错误

硬软件DoubleScore的Javadocs

：

警告：不建议使用，因为舍入错误会导致 给腐败打分。例如，这将打印false：

System.out.println（（0.01+0.05）==（0.01+0.02+0.03））

请参阅文档部分，了解如何解决此问题。
感谢您的帮助。你说“硬-软双重分数”导致了这个错误。我的理解正确吗？
2017-03-30 17:59:44,853 [main] DEBUG     CH step (2), time spent (246), score (0.0hard/-34.78590672782874soft), selected move count (1), picked move (CollectionInfo-72 {null -> ManagerInfo-0}).
Soft Score: 4.969724770642201
...
Soft Score: 4.969724770642201
Soft Score: 4.966641437308868
Soft Score: 4.969724770642201
...
Soft Score: 4.969724770642201
Soft Score: 4.967558103975534
Soft Score: 4.969724770642201
...
Soft Score: 4.969724770642201
Soft Score: 4.967558103975534
Exception in thread "main" java.lang.IllegalStateException: Score corruption: the workingScore (0.0hard/-34.78590672782873soft) is not the uncorruptedScore (0.0hard/-34.785906727828745soft) after completedAction (Undo(CollectionInfo-39 {null -> ManagerInfo-0})):
  The corrupted scoreDirector has no ConstraintMatch(s) which are in excess.
  The corrupted scoreDirector has no ConstraintMatch(s) which are missing.
  The corrupted scoreDirector has no ConstraintMatch(s) in excess or missing. That could be a bug in this class (class org.optaplanner.core.impl.score.director.drools.DroolsScoreDirector).
  Check your score constraints.
    at org.optaplanner.core.impl.score.director.AbstractScoreDirector.assertWorkingScoreFromScratch(AbstractScoreDirector.java:378)
    at org.optaplanner.core.impl.phase.scope.AbstractPhaseScope.assertExpectedUndoMoveScore(AbstractPhaseScope.java:142)
    at org.optaplanner.core.impl.constructionheuristic.decider.ConstructionHeuristicDecider.doMove(ConstructionHeuristicDecider.java:124)
    at org.optaplanner.core.impl.constructionheuristic.decider.ConstructionHeuristicDecider.decideNextStep(ConstructionHeuristicDecider.java:93)
    at org.optaplanner.core.impl.constructionheuristic.DefaultConstructionHeuristicPhase.solve(DefaultConstructionHeuristicPhase.java:72)
    at org.optaplanner.core.impl.solver.DefaultSolver.runPhases(DefaultSolver.java:215)
    at org.optaplanner.core.impl.solver.DefaultSolver.solve(DefaultSolver.java:176)
    at org.optaplanner.examples.collectionarrange2.app.CollectionArrangeHelloWorld.main(CollectionArrangeHelloWorld.java:51)