jaga.experiment
Class MultiOutputExperiment

java.lang.Object
  |
  +--jaga.experiment.MultiOutputExperiment

All Implemented Interfaces:

Experiment, java.io.Serializable

Direct Known Subclasses:

CombinationalBLIFExperiment, ConfigurableRandomInputMultiOutputExperiment

public class MultiOutputExperiment

extends java.lang.Object

implements Experiment

Multiple Output Experiments allow many experiments sharing inputs to be bundled into the same one. This is useful for example to combine many experiments, each deciding the fitness of different outputs of a circuit to be combined into one.

See Also:

Serialized Form

Constructor Summary

MultiOutputExperiment()

MultiOutputExperiment(Experiment[] exps)
Creates new MultiOutputExperiment

MultiOutputExperiment(Experiment[] exps, int main)
Creates new MultiOutputExperiment

Method Summary

SampleData[]	generateInput() generates an array of inputs suitable for this experiment using default input sample separation.
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()
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

MultiOutputExperiment

public MultiOutputExperiment()

MultiOutputExperiment

public MultiOutputExperiment(Experiment[] exps)

Creates new MultiOutputExperiment

MultiOutputExperiment

public MultiOutputExperiment(Experiment[] exps,
                             int main)

Creates new MultiOutputExperiment

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.

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

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object