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.Addition;
import jcgp.function.FunctionSet;
import jcgp.function.Multiplication;
import jcgp.function.Subtraction;
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.getBestFitness() >= 3) {
				break;
			}
		}	
	}

	/**
	 * 
	 */
	private void initialise() {
		// initialise function set
		FunctionSet functionSet = new FunctionSet(new Addition(), new Subtraction(), new 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());
		
		// 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();

	}
}