Package net.bmahe.genetics4j.samples.mixturemodel

Class SingleObjectiveMethod

java.lang.Object

net.bmahe.genetics4j.samples.mixturemodel.SingleObjectiveMethod

public class SingleObjectiveMethod
extends Object

Field Summary

Fields

Modifier and Type	Field	Description
private final String	baseDir
private final int	distributionNumParameters
static final org.apache.logging.log4j.Logger	logger
private final int	maxGenerations

Constructor Summary

Constructors

Constructor	Description
SingleObjectiveMethod(int _distributionNumParameters, String _baseDir, int _maxGenerations)

Method Summary

Modifier and Type	Method	Description
Fitness<Double>	fitnessCPU(int numDistributions, double[][] samples)
EvolutionResult<Double>	run(int maxPossibleDistributions, double[][] samples, float[] x, float[] y, String algorithmName, Collection<Genotype> seedPopulation)

Methods inherited from class java.lang.Object

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

Field Details

logger

public static final org.apache.logging.log4j.Logger logger

distributionNumParameters

private final int distributionNumParameters

baseDir

private final String baseDir

maxGenerations

private final int maxGenerations

Constructor Details

SingleObjectiveMethod

public SingleObjectiveMethod(int _distributionNumParameters,
 String _baseDir,
 int _maxGenerations)

Method Details

fitnessCPU

public Fitness<Double> fitnessCPU(int numDistributions,
 double[][] samples)

run

public EvolutionResult<Double> run(int maxPossibleDistributions,
 double[][] samples,
 float[] x,
 float[] y,
 String algorithmName,
 Collection<Genotype> seedPopulation)
                            throws IOException

Throws:

IOException