Examples of ExhaustiveSearchPhaseScope

Examples of org.optaplanner.core.impl.exhaustivesearch.scope.ExhaustiveSearchPhaseScope

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    // Worker methods
    // ************************************************************************

    public void solve(DefaultSolverScope solverScope) {
        SortedSet<ExhaustiveSearchNode> expandableNodeQueue = new TreeSet<ExhaustiveSearchNode>(nodeComparator);
        ExhaustiveSearchPhaseScope phaseScope = new ExhaustiveSearchPhaseScope(solverScope);
        phaseScope.setExpandableNodeQueue(expandableNodeQueue);
        phaseStarted(phaseScope);

        while (!expandableNodeQueue.isEmpty() && !termination.isPhaseTerminated(phaseScope)) {
            ExhaustiveSearchStepScope stepScope = new ExhaustiveSearchStepScope(phaseScope);
            ExhaustiveSearchNode node = expandableNodeQueue.last();
            expandableNodeQueue.remove(node);
            stepScope.setExpandingNode(node);
            stepStarted(stepScope);
            restoreWorkingSolution(stepScope);
            decider.expandNode(stepScope);
            stepEnded(stepScope);
            phaseScope.setLastCompletedStepScope(stepScope);
        }
        phaseEnded(phaseScope);
    }
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Examples of org.optaplanner.core.impl.exhaustivesearch.scope.ExhaustiveSearchPhaseScope

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        // Skip entitySelector.stepStarted(stepScope)
        decider.stepStarted(stepScope);
    }

    protected void restoreWorkingSolution(ExhaustiveSearchStepScope stepScope) {
        ExhaustiveSearchPhaseScope phaseScope = stepScope.getPhaseScope();
        ExhaustiveSearchNode oldNode = phaseScope.getLastCompletedStepScope().getExpandingNode();
        ExhaustiveSearchNode newNode = stepScope.getExpandingNode();
        List<Move> oldMoveList = new ArrayList<Move>(oldNode.getDepth());
        List<Move> newMoveList = new ArrayList<Move>(newNode.getDepth());
        while (oldNode != newNode) {
            int oldDepth = oldNode.getDepth();
            int newDepth = newNode.getDepth();
            if (oldDepth < newDepth) {
                newMoveList.add(newNode.getMove());
                newNode = newNode.getParent();
            } else {
                oldMoveList.add(oldNode.getUndoMove());
                oldNode = oldNode.getParent();
            }
        }
        List<Move> restoreMoveList = new ArrayList<Move>(oldMoveList.size() + newMoveList.size());
        restoreMoveList.addAll(oldMoveList);
        Collections.reverse(newMoveList);
        restoreMoveList.addAll(newMoveList);
        ScoreDirector scoreDirector = phaseScope.getScoreDirector();
        for (Move restoreMove : restoreMoveList) {
            restoreMove.doMove(scoreDirector);
        }
        // there is no need to recalculate the score, but we still need to set it
        phaseScope.getWorkingSolution().setScore(stepScope.getScore());
        if (assertWorkingSolutionScoreFromScratch) {
            phaseScope.assertWorkingScoreFromScratch(stepScope.getScore(), restoreMoveList);
        }
        if (assertExpectedWorkingSolutionScore) {
            phaseScope.assertExpectedWorkingScore(stepScope.getScore(), restoreMoveList);
        }
    }
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Examples of org.optaplanner.core.impl.exhaustivesearch.scope.ExhaustiveSearchPhaseScope

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    public void stepEnded(ExhaustiveSearchStepScope stepScope) {
        super.stepEnded(stepScope);
        // Skip entitySelector.stepEnded(stepScope)
        decider.stepEnded(stepScope);
        if (logger.isDebugEnabled()) {
            ExhaustiveSearchPhaseScope phaseScope = stepScope.getPhaseScope();
            long timeMillisSpent = phaseScope.calculateSolverTimeMillisSpent();
            logger.debug("    ES step ({}), time spent ({}), treeId ({}), {} best score ({}), selected move count ({}).",
                    stepScope.getStepIndex(), timeMillisSpent,
                    stepScope.getTreeId(),
                    (stepScope.getBestScoreImproved() ? "new" : "   "),
                    phaseScope.getBestScoreWithUninitializedPrefix(),
                    stepScope.getSelectedMoveCount());
        }
    }
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Examples of org.optaplanner.core.impl.exhaustivesearch.scope.ExhaustiveSearchPhaseScope

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public class DefaultExhaustiveSearchPhaseTest {

    @Test
    public void restoreWorkingSolution() {
        ExhaustiveSearchPhaseScope phaseScope = mock(ExhaustiveSearchPhaseScope.class);
        ExhaustiveSearchStepScope lastCompletedStepScope = mock(ExhaustiveSearchStepScope.class);
        when(phaseScope.getLastCompletedStepScope()).thenReturn(lastCompletedStepScope);
        ExhaustiveSearchStepScope stepScope = mock(ExhaustiveSearchStepScope.class);
        when(stepScope.getPhaseScope()).thenReturn(phaseScope);
        Solution workingSolution = mock(Solution.class);
        when(phaseScope.getWorkingSolution()).thenReturn(workingSolution);

        ExhaustiveSearchLayer layer0 = new ExhaustiveSearchLayer(0, mock(Object.class), 100);
        ExhaustiveSearchLayer layer1 = new ExhaustiveSearchLayer(1, mock(Object.class), 99);
        ExhaustiveSearchLayer layer2 = new ExhaustiveSearchLayer(2, mock(Object.class), 98);
        ExhaustiveSearchLayer layer3 = new ExhaustiveSearchLayer(3, mock(Object.class), 97);
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Examples of org.optaplanner.core.impl.exhaustivesearch.scope.ExhaustiveSearchPhaseScope

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        moveNode.setUndoMove(undoMove);
        move.doMove(scoreDirector);
        processMove(stepScope, moveNode);
        undoMove.doMove(scoreDirector);
        if (assertExpectedUndoMoveScore) {
            ExhaustiveSearchPhaseScope phaseScope = stepScope.getPhaseScope();
            phaseScope.assertExpectedUndoMoveScore(move, undoMove);
        }
        logger.trace("        Move treeId ({}), score ({}), expandable ({}), move ({}).",
                moveNode.getTreeId(), moveNode.getScore(), moveNode.isExpandable(), moveNode.getMove());
    }
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Examples of org.optaplanner.core.impl.exhaustivesearch.scope.ExhaustiveSearchPhaseScope

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        logger.trace("        Move treeId ({}), score ({}), expandable ({}), move ({}).",
                moveNode.getTreeId(), moveNode.getScore(), moveNode.isExpandable(), moveNode.getMove());
    }

    private void processMove(ExhaustiveSearchStepScope stepScope, ExhaustiveSearchNode moveNode) {
        ExhaustiveSearchPhaseScope phaseScope = stepScope.getPhaseScope();
        int uninitializedVariableCount = moveNode.getUninitializedVariableCount();
        boolean lastLayer = moveNode.isLastLayer();
        if (!scoreBounderEnabled) {
            if (lastLayer) {
                Score score = phaseScope.calculateScore();
                moveNode.setScore(score);
                if (assertMoveScoreFromScratch) {
                    phaseScope.assertWorkingScoreFromScratch(score, moveNode.getMove());
                }
                bestSolutionRecaller.processWorkingSolutionDuringMove(uninitializedVariableCount, score, stepScope);
            } else {
                phaseScope.addExpandableNode(moveNode);
            }
        } else {
            Score score = phaseScope.calculateScore();
            moveNode.setScore(score);
            if (assertMoveScoreFromScratch) {
                phaseScope.assertWorkingScoreFromScratch(score, moveNode.getMove());
            }
            if (lastLayer) {
                // There is no point in bounding a fully initialized score
                phaseScope.registerPessimisticBound(score);
                bestSolutionRecaller.processWorkingSolutionDuringMove(uninitializedVariableCount, score, stepScope);
            } else {
                InnerScoreDirector scoreDirector = phaseScope.getScoreDirector();
                Score optimisticBound = scoreBounder.calculateOptimisticBound(scoreDirector, score);
                moveNode.setOptimisticBound(optimisticBound);
                if (optimisticBound.compareTo(phaseScope.getBestPessimisticBound()) > 0) {
                    // It's still worth investigating this node further (no need to prune it)
                    phaseScope.addExpandableNode(moveNode);
                    Score pessimisticBound = scoreBounder.calculatePessimisticBound(scoreDirector, score);
                    phaseScope.registerPessimisticBound(pessimisticBound);
                }
            }
        }
    }
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