package ch.idsia.scenarios.test;
import wox.serial.Easy;
import ch.idsia.ai.Evolvable;
import ch.idsia.ai.agents.Agent;
import ch.idsia.ai.agents.RegisterableAgent;
import ch.idsia.ai.agents.ai.LargeSRNAgent;
import ch.idsia.ai.ea.ES;
import ch.idsia.ai.tasks.ProgressTask;
import ch.idsia.scenarios.Stats;
import ch.idsia.tools.CmdLineOptions;
import ch.idsia.tools.EvaluationOptions;
/**
* Created by IntelliJ IDEA.
* User: julian
* Date: Jun 13, 2009
* Time: 2:16:18 PM
*/
public class PaperEvolve {
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);
Evolvable initial = new LargeSRNAgent();
if (args.length > 0) {
initial = (Evolvable) RegisterableAgent.load (args[0]);
}
RegisterableAgent.registerAgent ((Agent) initial);
options.setMaxFPS(true);
options.setPauseWorld(false);
options.setVisualization(false);
ProgressTask task = new ProgressTask(options);
int seed = (int) (Math.random () * Integer.MAX_VALUE);
ES es = new ES (task, initial, populationSize);
System.out.println("Evolving " + initial + " with task " + task);
int difficulty = 0;
final String fileName = "evolved" + (int) (Math.random () * Integer.MAX_VALUE) + ".xml";
options.setLevelRandSeed(seed);
for (int gen = 0; gen < generations; gen++) {
es.nextGeneration();
double bestResult = es.getBestFitnesses()[0];
System.out.println("Generation " + gen + " diff " + difficulty + " best " + bestResult);
Easy.save (es.getBests()[0], fileName);
if (bestResult > 4000) {
difficulty++;
options.setLevelDifficulty(difficulty);
options.setLevelRandSeed(seed);
}
}
Stats.main(new String[]{fileName, "0"});
System.out.println("\n\n\n\n\n\n\n\n\n");
}
}