jaga.pj.circuits.experiment
Class TestPattern4EvolvingExperiment

java.lang.Object
  |
  +--jaga.pj.circuits.experiment.TestPattern4EvolvingExperiment

All Implemented Interfaces:

Experiment, java.io.Serializable

public class TestPattern4EvolvingExperiment

extends java.lang.Object

implements Experiment

See Also:

Serialized Form

Constructor Summary

TestPattern4EvolvingExperiment(Experiment exp)
Creates new TestPatter4EvolvingExperiment

Method Summary

SampleData[]	generateInput() generates an array of inputs suitable for this experiment using default input sample separation.
SampleData[]	generateInput(Genotype ind, int sampleSeparation) Generates an input sequence based on the standard input sequence of the experiment plus an input sequence defined by the test pattern individual.
SampleData[]	generateInput(int inputSampleSeparation) generates an array of inputs suitable for this experiment.
double	getFitness(SampleData[] in, SampleData[] out) returns a fitness associated to a given input/output pair for this experiment.
int	getNumOfInputs()
int	getNumOfOutputs()
void	setNextCircuitFitness(double ncf)
java.lang.String	toString()

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

TestPattern4EvolvingExperiment

public TestPattern4EvolvingExperiment(Experiment exp)

Creates new TestPatter4EvolvingExperiment

Method Detail

getFitness

public double getFitness(SampleData[] in,
                         SampleData[] out)

returns a fitness associated to a given input/output pair for this experiment. The fitness is a double and is in adjusted fitness format. From 0 to 1, 1 being perfectly fit. *WARNING* Assumes inputs were generated in same class.

Specified by:

getFitness in interface Experiment

Parameters:

in - array of inputs

out - array of outputs

generateInput

public SampleData[] generateInput()

generates an array of inputs suitable for this experiment using default input sample separation.

Specified by:

generateInput in interface Experiment

generateInput

public SampleData[] generateInput(int inputSampleSeparation)

generates an array of inputs suitable for this experiment.

Specified by:

generateInput in interface Experiment

Parameters:

inputSampleSeparation - relative frequency of input to output samples. If this is n, then n outputs will be sampled for every change in inputs.

getNumOfInputs

public int getNumOfInputs()

Specified by:

getNumOfInputs in interface Experiment

getNumOfOutputs

public int getNumOfOutputs()

Specified by:

getNumOfOutputs in interface Experiment

generateInput

public SampleData[] generateInput(Genotype ind,
                                  int sampleSeparation)

Generates an input sequence based on the standard input sequence of the experiment plus an input sequence defined by the test pattern individual. Here is where the genotype->phenotype mapping for test patterns is:

Each chunk of [numInputs] bits represents one line of test input pattern.

Parameters:

ind - the test pattern individual.

setNextCircuitFitness

public void setNextCircuitFitness(double ncf)

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object