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java.lang.Objectorg.optaplanner.core.impl.score.definition.AbstractScoreDefinition<HardSoftDoubleScore>
org.optaplanner.core.impl.score.buildin.hardsoftdouble.HardSoftDoubleScoreDefinition
public class HardSoftDoubleScoreDefinition
Constructor Summary | |
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HardSoftDoubleScoreDefinition()
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Method Summary | |
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ScoreHolder |
buildScoreHolder(boolean constraintMatchEnabled)
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double |
calculateTimeGradient(HardSoftDoubleScore startScore,
HardSoftDoubleScore endScore,
HardSoftDoubleScore score)
See explanation in Termination.calculateSolverTimeGradient(DefaultSolverScope) . |
double |
getHardScoreTimeGradientWeight()
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HardSoftDoubleScore |
getPerfectMaximumScore()
The perfect maximum Score is the Score of which there is no better in any problem instance. |
HardSoftDoubleScore |
getPerfectMinimumScore()
The perfect minimum Score is the Score of which there is no worse in any problem instance. |
Class<HardSoftDoubleScore> |
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(HardSoftDoubleScore perfectMaximumScore)
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void |
setPerfectMinimumScore(HardSoftDoubleScore 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 |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public HardSoftDoubleScoreDefinition()
Method Detail |
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public double getHardScoreTimeGradientWeight()
public void setHardScoreTimeGradientWeight(double hardScoreTimeGradientWeight)
hardScoreTimeGradientWeight
- 0.0 <= hardScoreTimeGradientWeight <= 1.0public HardSoftDoubleScore getPerfectMaximumScore()
ScoreDefinition
Score
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<HardSoftDoubleScore>
getPerfectMaximumScore
in class AbstractScoreDefinition<HardSoftDoubleScore>
public void setPerfectMaximumScore(HardSoftDoubleScore perfectMaximumScore)
public HardSoftDoubleScore getPerfectMinimumScore()
ScoreDefinition
Score
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<HardSoftDoubleScore>
getPerfectMinimumScore
in class AbstractScoreDefinition<HardSoftDoubleScore>
public void setPerfectMinimumScore(HardSoftDoubleScore perfectMinimumScore)
public Class<HardSoftDoubleScore> getScoreClass()
ScoreDefinition
Class
of the actual Score
implementation
public Score parseScore(String scoreString)
ScoreDefinition
String
and returns a Score
.
scoreString
- never null
ScoreDefinition.formatScore(Score)
public double calculateTimeGradient(HardSoftDoubleScore startScore, HardSoftDoubleScore endScore, HardSoftDoubleScore score)
ScoreDefinition
Termination.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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