package jcgp;

import java.util.Random;

import jcgp.modules.ea.EvolutionaryAlgorithm;
import jcgp.modules.ea.StandardEA;
import jcgp.modules.fitness.FitnessFunction;
import jcgp.modules.fitness.TestCase;
import jcgp.modules.fitness.TruthTableEvaluator;
import jcgp.modules.function.Arithmetic;
import jcgp.modules.function.FunctionSet;
import jcgp.modules.mutator.Mutator;
import jcgp.modules.mutator.StandardMutator;
import jcgp.parameters.BooleanParameter;
import jcgp.parameters.IntegerParameter;
import jcgp.parameters.Parameters;
import jcgp.population.Population;

public class CGP {

	// CGP components
	private EvolutionaryAlgorithm evolutionaryAlgorithm;
	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);
			evolutionaryAlgorithm.evolve(population, mutator);
			if (evolutionaryAlgorithm.getFittestChromosome().getFitness() >= 3) {
				if (Parameters.getDebug()) {
					evolutionaryAlgorithm.getFittestChromosome().printNodes();
				}
				break;
			}
		}	
	}

	/**
	 * 
	 */
	private void initialise() {
		// make fundamental parameters
		Parameters.add("Rows", new IntegerParameter(3));
		Parameters.add("Columns", new IntegerParameter(3));
		Parameters.add("Inputs", new IntegerParameter(3));
		Parameters.add("Outputs", new IntegerParameter(3));
		Parameters.add("population", new IntegerParameter(5));
		
		Parameters.add("generations", new IntegerParameter(100));
		Parameters.add("runs", new IntegerParameter(5));
		
		Parameters.add("debug", new BooleanParameter(false));
		
		// 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 fitness function and truth table
		TruthTable.setTestCases(new TestCase(new Object[] {2, 5, 4}, new Object[] {1, 10, 15}));
		fitnessFunction = new TruthTableEvaluator();

		// initialise EA
		evolutionaryAlgorithm = new StandardEA();
		mutator = new StandardMutator();
		
		// initialise population
		population = new Population();

	}
}