Package org.optaplanner.core.api.score

Examples of org.optaplanner.core.api.score.Score.compareTo()

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                        scoreDirector.beforeVariableChanged(seatDesignation, "seat");
                        seatDesignation.setSeat(seat);
                        scoreDirector.afterVariableChanged(seatDesignation, "seat");
                    }
                    Score score = scoreDirector.calculateScore();
                    if (score.compareTo(bestScore) > 0) {
                        bestScore = score;
                        bestSeat = seat;
                    }
                }
            }
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    }

    public boolean isAccepted(LocalSearchMoveScope moveScope) {
        Score lastStepScore = moveScope.getStepScope().getPhaseScope().getLastCompletedStepScope().getScore();
        Score moveScore = moveScope.getScore();
        if (moveScore.compareTo(lastStepScore) >= 0) {
            return true;
        }
        return moveScore.compareTo(thresholdScore) >= 0;
    }
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        Score lastStepScore = moveScope.getStepScope().getPhaseScope().getLastCompletedStepScope().getScore();
        Score moveScore = moveScope.getScore();
        if (moveScore.compareTo(lastStepScore) >= 0) {
            return true;
        }
        return moveScore.compareTo(thresholdScore) >= 0;
    }

    @Override
    public void stepEnded(LocalSearchStepScope stepScope) {
        super.stepEnded(stepScope);
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    public boolean isAccepted(LocalSearchMoveScope moveScope) {
        LocalSearchPhaseScope phaseScope = moveScope.getStepScope().getPhaseScope();
        Score lastStepScore = phaseScope.getLastCompletedStepScope().getScore();
        Score moveScore = moveScope.getScore();
        if (moveScore.compareTo(lastStepScore) >= 0) {
            return true;
        }
        Score moveScoreDifference = lastStepScore.subtract(moveScore);
        double[] moveScoreDifferenceLevels = ScoreUtils.extractLevelDoubles(moveScoreDifference);
        double acceptChance = 1.0;
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                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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