package ch.idsia.scenarios.test;
import ch.idsia.tools.EvaluationOptions;
import ch.idsia.tools.CmdLineOptions;
import ch.idsia.ai.Evolvable;
import ch.idsia.ai.ea.ES;
import ch.idsia.ai.tasks.MultiDifficultyProgressTask;
import ch.idsia.ai.agents.ai.SmallMLPAgent;
import ch.idsia.ai.agents.RegisterableAgent;
import ch.idsia.ai.agents.Agent;
import ch.idsia.scenarios.Stats;
import wox.serial.Easy;
/**
* Created by IntelliJ IDEA.
* User: julian
* Date: Jun 14, 2009
* Time: 1:12:02 PM
*/
public class EvolveWithChangingSeeds {
final static int generations = 100;
final static int populationSize = 100;
public static void main(String[] args) {
EvaluationOptions options = new CmdLineOptions(new String[0]);
options.setMaxAttempts(1);
options.setPauseWorld(false);
Evolvable initial = new SmallMLPAgent();
RegisterableAgent.registerAgent ((Agent) initial);
options.setMaxFPS(true);
options.setVisualization(false);
MultiDifficultyProgressTask task = new MultiDifficultyProgressTask(options);
ES es = new ES (task, initial, populationSize);
System.out.println("Evolving " + initial + " with task " + task);
final String fileName = "evolved" + (int) (Math.random () * Integer.MAX_VALUE) + ".xml";
for (int gen = 0; gen < generations; gen++) {
task.setStartingSeed((int) (Math.random () * Integer.MAX_VALUE));
es.nextGeneration();
double bestResult = es.getBestFitnesses()[0];
System.out.println("Generation " + gen + " best " + bestResult);
Evolvable bestEvolvable = es.getBests()[0];
double[] fitnesses = task.evaluate((Agent) bestEvolvable);
System.out.printf("%.4f %.4f %.4f %.4f %.4f\n",
fitnesses[0], fitnesses[1], fitnesses[2], fitnesses[3], fitnesses[4]);
Easy.save (es.getBests()[0], fileName);
}
Stats.main(new String[]{fileName, "0"});
}
}