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package jcgp.backend.modules.fitness.testcase;
import java.util.ArrayList;
import java.util.Collections;
import jcgp.backend.modules.fitness.FitnessFunction;
import jcgp.backend.population.Population;
import jcgp.backend.resources.Resources;
/**
*
* This fitness function module implements a simple test case evaluator.
*
* A TestCase object is a
*
*
* @author Eduardo Pedroni
*
*/
public abstract class TestCaseEvaluator implements FitnessFunction {
public static class TestCase<T> {
private T[] inputs;
private T[] outputs;
public TestCase(T[] inputs, T[] outputs) {
this.inputs = inputs;
this.outputs = outputs;
}
public T getInput(int index) {
return inputs[index];
}
public T getOutput(int index) {
return outputs[index];
}
public T[] getInputs() {
return inputs;
}
public T[] getOutputs() {
return outputs;
}
}
protected ArrayList<TestCase<?>> testCases;
@Override
public void evaluate(Population population, Resources resources) {
// for every chromosome in the population
for (int i = 0; i < resources.getInt("popSize"); i++) {
// assume an initial fitness of 0
int fitness = 0;
// for each test case
for (int t = 0; t < testCases.size(); t++) {
population.getChromosome(i).setInputs(testCases.get(t).getInputs());
// check each output
for (int o = 0; o < resources.getInt("outputs"); o++) {
if (population.getChromosome(i).getOutput(o).calculate() == testCases.get(t).getOutput(o)) {
fitness++;
}
}
}
// assign the resulting fitness to the respective individual
population.getChromosome(i).setFitness(fitness);
}
}
public int getMaxFitness() {
int fitness = 0;
for (TestCase<?> tc : testCases) {
fitness += tc.getOutputs().length;
}
return fitness;
}
public void setTestCases(TestCase<?>... testCases) {
this.testCases = new ArrayList<TestCase<?>>();
Collections.addAll(this.testCases, testCases);
}
}
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