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package jcgp;
import java.util.Random;
import jcgp.ea.EvolutionaryAlgorithm;
import jcgp.ea.Mutator;
import jcgp.ea.StandardEA;
import jcgp.ea.StandardMutator;
import jcgp.fitness.FitnessFunction;
import jcgp.fitness.TestCase;
import jcgp.fitness.TruthTableEvaluator;
import jcgp.function.Arithmetic;
import jcgp.function.FunctionSet;
import jcgp.population.Population;
public final class CGP {
// CGP components
private EvolutionaryAlgorithm ea;
private Mutator mutator;
private Population population;
private FitnessFunction fitnessFunction;
public CGP() {
initialise();
for (int i = 0; i < Parameters.getTotalGenerations(); i++) {
Parameters.setCurrentGeneration(i);
fitnessFunction.evaluate(population);
ea.evolve(population, mutator);
if (ea.getFittestChromosome().getFitness() >= 3) {
if (Parameters.getDebug()) {
ea.getFittestChromosome().printNodes();
}
break;
}
}
}
/**
*
*/
private void initialise() {
// initialise function set
FunctionSet functionSet = new FunctionSet(new Arithmetic.Addition(), new Arithmetic.Subtraction(), new Arithmetic.Multiplication());
// initialise utilities
Utilities.setResources(new Random(1234), functionSet);
// initialise parameters
Parameters.setColumns(3);
Parameters.setRows(6);
Parameters.setInputs(3);
Parameters.setOutputs(3);
Parameters.setLevelsBack(3);
Parameters.setPopulationSize(1, 4);
Parameters.setMutationRate(10);
Parameters.setTotalGenerations(5000);
Parameters.setTotalRuns(5);
Parameters.setMaxArity(functionSet.getMaxArity());
Parameters.setDebug(false);
// initialise fitness function and truth table
TruthTable.setTestCases(new TestCase(new Object[] {2, 5, 4}, new Object[] {1, 10, 15}));
fitnessFunction = new TruthTableEvaluator();
// initialise EA
ea = new StandardEA();
mutator = new StandardMutator();
// initialise population
population = new Population();
}
}
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