edu.indiana.iucbrf.casepackage
Class CaseGenerator

java.lang.Object
  edu.indiana.iucbrf.casepackage.CaseGenerator

Direct Known Subclasses:

ParallelCSCGenerator

public class CaseGenerator
extends java.lang.Object

This class handles the automatic generation of cases, according to provided distributions. It is especially useful for populating a case base with random cases.

Field Summary

protected Domain	domain The domain to which these cases will apply.
protected DistributionCollection	featureNoiseDistribution The distributions for noise to apply, depending on noiseProbability, for each feature.
protected int	generatedCount
protected double	noiseProbability The probability of noise, applied to a feature or a solution, between 0 and 1.
protected double	problemCount The number of problems the case base has seen when these cases will be added.
protected ProblemGenerator	problemGenerator The problem generator used to generate the problem portion of each case.
protected Distribution	solutionNoiseDistribution The distribution for noise to apply, depending on noiseProbability, for the solution.

Constructor Summary

CaseGenerator(ProblemGenerator problemGenerator, DistributionCollection featureNoiseDistribution, Distribution solutionNoiseDistribution, double problemCount, double noiseProbability, Domain domain)
Construct a CaseGenerator object.

CaseGenerator(ProblemGenerator problemGenerator, Domain domain)

CaseGenerator(ProblemGenerator problemGenerator, double problemCount, Domain domain)
Construct a CaseGenerator object.

Method Summary

Case	generateCase() Randomly generate a case according to the distributions and probabilities for this generator.
protected Case	generateCase(Problem p)
java.util.ArrayList	generateCases(int numCases)
int	getGeneratedCount()
protected boolean	shouldApplyFeatureNoise(Case c, FeatureKey featureKey) Determine if noise should be applied to a given feature in a case being generated.
protected boolean	shouldApplySolutionNoise(Case c) Determine if noise should be applied to the solution to a case being generated.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

problemCount

protected double problemCount

The number of problems the case base has seen when these cases will be added.

noiseProbability

protected double noiseProbability

The probability of noise, applied to a feature or a solution, between 0 and 1.

featureNoiseDistribution

protected DistributionCollection featureNoiseDistribution

The distributions for noise to apply, depending on noiseProbability, for each feature.

solutionNoiseDistribution

protected Distribution solutionNoiseDistribution

The distribution for noise to apply, depending on noiseProbability, for the solution.

problemGenerator

protected ProblemGenerator problemGenerator

The problem generator used to generate the problem portion of each case.

domain

protected Domain domain

The domain to which these cases will apply.

generatedCount

protected int generatedCount

Constructor Detail

CaseGenerator

public CaseGenerator(ProblemGenerator problemGenerator,
                     Domain domain)

CaseGenerator

public CaseGenerator(ProblemGenerator problemGenerator,
                     double problemCount,
                     Domain domain)

Construct a CaseGenerator object. Cases will be generated using the problem generator, distributions for the application of noise to each feature, a distribution for the application of noise to the solution, and the number of problems the system has seen when these cases are added. Noise probability is assumed 0.

CaseGenerator

public CaseGenerator(ProblemGenerator problemGenerator,
                     DistributionCollection featureNoiseDistribution,
                     Distribution solutionNoiseDistribution,
                     double problemCount,
                     double noiseProbability,
                     Domain domain)

Construct a CaseGenerator object. Cases will be generated using the problem generator, distributions for the application of noise to each feature, a distribution for the application of noise to the solution, the number of problems the system has seen when these cases are added, and the probability of applying noise to a feature or the solution.

Method Detail

getGeneratedCount

public int getGeneratedCount()

generateCase

public Case generateCase()

Randomly generate a case according to the distributions and probabilities for this generator.

generateCase

protected Case generateCase(Problem p)

generateCases

public java.util.ArrayList generateCases(int numCases)

shouldApplyFeatureNoise

protected boolean shouldApplyFeatureNoise(Case c,
                                          FeatureKey featureKey)

Determine if noise should be applied to a given feature in a case being generated. This implementation returns true with probability noiseProbability, regardless of the key sent.

shouldApplySolutionNoise

protected boolean shouldApplySolutionNoise(Case c)

Determine if noise should be applied to the solution to a case being generated. This implementation returns true with probability noiseProbability.