//Update the genetic algorithm.
public void update(TestAgent agent)
{
//End of current target test.
if (++tick == TICKS_PER_GENOME) {
//Move to next target.
currTarget = (currTarget+1) % agent.totalTargets();
//Notify agent of end of target test
agent.endOfTarget(currTarget);
//calculate fitness and add to genomes current total.
population[populationIndex].totalFitness += agent.calculateFitness();
//Reset the agent back to starting values.
agent.reset();
//Finished testing current genome
if(!agent.targetsEnabled || currTarget == 0) {
//Notify agent
agent.endOfTests();
//Calculate fitness for current genome
population[populationIndex].fitness = population[populationIndex].totalFitness/(agent.targetsEnabled?agent.totalTargets():1);
//Add fitness to total.
totalFitness += population[populationIndex].fitness;
Debug.Log("Population["+populationIndex+"] " +population[populationIndex].fitness);
//Save the best fitness for the generation.
bestFitness = Math.Max(bestFitness, population[populationIndex].fitness);
//Move to next genome
++populationIndex;
//Replace weights in agent with new genome's weights.
agent.replaceBrain(population[populationIndex%populationSize].weights);
//End of one generation
if(populationIndex == populationSize) {
Debug.Log("Generation "+generation +" completed");
createNewPopulation();
populationIndex = 0;
totalFitness = 0;
bestFitness = 0;
++generation;
}
}
tick = 0;
}
}