org.optaplanner.core.impl.exhaustivesearch.node.bounder
Interface ScoreBounder

All Known Implementing Classes:

TrendBasedScoreBounder

public interface ScoreBounder

Method Summary

Score	calculateOptimisticBound(ScoreDirector scoreDirector, Score score, int uninitializedVariableCount) In OR terms, this is called the lower bound if they minimize, and upper bound if they maximize.
Score	calculatePessimisticBound(ScoreDirector scoreDirector, Score score, int uninitializedVariableCount) In OR terms, this is called the upper bound if they minimize, and lower bound if they maximize.

Method Detail

calculateOptimisticBound

Score calculateOptimisticBound(ScoreDirector scoreDirector,
                               Score score,
                               int uninitializedVariableCount)

In OR terms, this is called the lower bound if they minimize, and upper bound if they maximize. Because we always maximize the Score, calling it lower bound would be a contradiction.

Parameters:

scoreDirector - never null, use ScoreDirector.getWorkingSolution() to get the working Solution

score - never null, the Score of the working Solution

uninitializedVariableCount - >= 0, the number of uninitialized variables in the working Solution. If 0, this method should return the score parameter.

Returns:

never null, never worse than the best possible Score we can get by initializing the uninitialized variables of the working Solution.

calculatePessimisticBound

Score calculatePessimisticBound(ScoreDirector scoreDirector,
                                Score score,
                                int uninitializedVariableCount)

In OR terms, this is called the upper bound if they minimize, and lower bound if they maximize. Because we always maximize the Score, calling it upper bound would be a contradiction.

Parameters:

scoreDirector - never null, use ScoreDirector.getWorkingSolution() to get the working Solution

score - never null, the Score of the working Solution

uninitializedVariableCount - >= 0, the number of uninitialized variables in the working Solution. If 0, this method should return the score parameter.

Returns:

never null, never better than the worst possible Score we can get by initializing the uninitialized variables of the working Solution.