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java.lang.Objectorg.optaplanner.core.impl.score.definition.AbstractScoreDefinition<HardSoftLongScore>
org.optaplanner.core.impl.score.buildin.hardsoftlong.HardSoftLongScoreDefinition
public class HardSoftLongScoreDefinition
| Constructor Summary | |
|---|---|
HardSoftLongScoreDefinition()
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| Method Summary | |
|---|---|
ScoreHolder |
buildScoreHolder(boolean constraintMatchEnabled)
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double |
calculateTimeGradient(HardSoftLongScore startScore,
HardSoftLongScore endScore,
HardSoftLongScore score)
See explanation in Termination.calculateSolverTimeGradient(DefaultSolverScope). |
double |
getHardScoreTimeGradientWeight()
|
HardSoftLongScore |
getPerfectMaximumScore()
The perfect maximum Score is the Score of which there is no better in any problem instance. |
HardSoftLongScore |
getPerfectMinimumScore()
The perfect minimum Score is the Score of which there is no worse in any problem instance. |
Class<HardSoftLongScore> |
getScoreClass()
Returns the Class of the actual Score implementation |
Score |
parseScore(String scoreString)
Parses the String and returns a Score. |
void |
setHardScoreTimeGradientWeight(double hardScoreTimeGradientWeight)
It's recommended to use a number which can be exactly represented as a double, such as 0.5, 0.25, 0.75, 0.125, ... but not 0.1, 0.2, ... |
void |
setPerfectMaximumScore(HardSoftLongScore perfectMaximumScore)
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void |
setPerfectMinimumScore(HardSoftLongScore perfectMinimumScore)
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| Methods inherited from class org.optaplanner.core.impl.score.definition.AbstractScoreDefinition |
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formatScore |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
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public HardSoftLongScoreDefinition()
| Method Detail |
|---|
public double getHardScoreTimeGradientWeight()
public void setHardScoreTimeGradientWeight(double hardScoreTimeGradientWeight)
hardScoreTimeGradientWeight - 0.0 <= hardScoreTimeGradientWeight <= 1.0public HardSoftLongScore getPerfectMaximumScore()
ScoreDefinitionScore is the Score of which there is no better in any problem instance.
This doesn't mean that the current problem instance, or any problem instance for that matter,
could ever attain that Score.
For example, most cases have a perfect maximum Score of zero, as most use cases only have negative
constraints.
getPerfectMaximumScore in interface ScoreDefinition<HardSoftLongScore>getPerfectMaximumScore in class AbstractScoreDefinition<HardSoftLongScore>public void setPerfectMaximumScore(HardSoftLongScore perfectMaximumScore)
public HardSoftLongScore getPerfectMinimumScore()
ScoreDefinitionScore is the Score of which there is no worse in any problem instance.
This doesn't mean that the current problem instance, or any problem instance for that matter,
could ever attain such a bad Score.
For example, most cases have a perfect minimum Score of negative infinity.
getPerfectMinimumScore in interface ScoreDefinition<HardSoftLongScore>getPerfectMinimumScore in class AbstractScoreDefinition<HardSoftLongScore>public void setPerfectMinimumScore(HardSoftLongScore perfectMinimumScore)
public Class<HardSoftLongScore> getScoreClass()
ScoreDefinitionClass of the actual Score implementation
public Score parseScore(String scoreString)
ScoreDefinitionString and returns a Score.
scoreString - never null
ScoreDefinition.formatScore(Score)
public double calculateTimeGradient(HardSoftLongScore startScore,
HardSoftLongScore endScore,
HardSoftLongScore score)
ScoreDefinitionTermination.calculateSolverTimeGradient(DefaultSolverScope).
startScore - never nullendScore - never nullscore - never null
public ScoreHolder buildScoreHolder(boolean constraintMatchEnabled)
constraintMatchEnabled - true if ScoreHolder.isConstraintMatchEnabled() should be true
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