jaga.experiment
Interface Experiment

All Superinterfaces:

java.io.Serializable

All Known Subinterfaces:

ConfigurableExperiment, ConfigurableRandomInputExperiment, ConfigurableSequentialCircuitExperiment, SequentialCircuitExperiment

All Known Implementing Classes:

MultiOutputExperiment, AddClockExperiment, DLatchExperiment, SimpleOscillatorExperiment, EvenOscillatorExperiment, TestPattern4EvolvingExperiment, ElementParsimonyExperiment, AllOrNothingExperiment

public interface Experiment

extends java.io.Serializable

An Experiment is a purpose we wish the individuals to perform, such as being an AND gate, or surviving in a tank full of piranhas.

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()

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.

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.

generateInput

public SampleData[] generateInput(int inputSampleSeparation)

generates an array of inputs suitable for this 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()

getNumOfOutputs

public int getNumOfOutputs()