public static double testConfig(
TimingAgent controller, EvaluationOptions options, int seed, int level, boolean paused) {
options.setLevelDifficulty(level);
options.setPauseWorld(paused);
StatisticalSummary ss = test(controller, options, seed);
double averageTimeTaken = controller.averageTimeTaken();
System.out.printf(
"Difficulty %d score %.4f (avg time %.4f)\n", level, ss.mean(), averageTimeTaken);
if (averageTimeTaken > 40) {
System.out.println(
"Maximum allowed average time is 40 ms per time step.\n" + "Controller disqualified");
System.exit(0);
}
return ss.mean();
}
public static void main(String[] args) {
EvaluationOptions options = new CmdLineOptions(new String[0]);
options.setNumberOfTrials(1);
options.setPauseWorld(false);
Evolvable initial = new SimpleMLPAgent();
// RegisterableAgent.registerAgent ((Agent) initial);
options.setMaxFPS(true);
options.setLevelDifficulty(0);
options.setVisualization(false);
ProgressTask task = new ProgressTask(options);
options.setLevelRandSeed((int) (Math.random() * Integer.MAX_VALUE));
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++) {
es.nextGeneration();
double bestResult = es.getBestFitnesses()[0];
System.out.println("Generation " + gen + " best " + bestResult);
Easy.save(es.getBests()[0], fileName);
}
Stats.main(new String[] {fileName, "1"});
}