public override Individual CreateIndividual(IRandomGenerator randomGenerator)
{
var ant = new ArtificialAnt(this, 0, StatesNumber, EventsNumber);
for (int state = 0; state < StatesNumber; state++)
{
for (int @event = 0; @event < EventsNumber; @event++)
{
ant.Transitions[state, @event] =
new FiniteAutomaton.StateTransition(randomGenerator.Next(StatesNumber), randomGenerator.Next(ant.OutputsNumber));
}
}
return ant;
}
public override Individual CreateIndividual(IRandomGenerator randomGenerator)
{
var ant = new ArtificialAnt(this, 0, StatesNumber, EventsNumber);
for (int state = 0; state < StatesNumber; state++)
{
for (int @event = 0; @event < EventsNumber; @event++)
{
ant.Transitions[state, @event] =
new FiniteAutomaton.StateTransition(randomGenerator.Next(StatesNumber), randomGenerator.Next(ant.OutputsNumber));
}
}
return(ant);
}
public double EvaluateIndividual(ArtificialAnt ant)
{
var mover = new AntMover(ant, AppleField);
int apples = 0;
int lastStep = 0;
for (int i = 0; i < MaxStepsCount; ++i)
{
// Ate an apple
if (mover.Move())
{
apples++;
// In which steps ate, to determine the best in the case that both ate all the apples
lastStep = i;
}
if (apples == AppleField.FoodCount)
break;
}
return apples - 1.0 * lastStep / MaxStepsCount;
}
public double EvaluateIndividual(ArtificialAnt ant)
{
var mover = new AntMover(ant, AppleField);
int apples = 0;
int lastStep = 0;
for (int i = 0; i < MaxStepsCount; ++i)
{
// Ate an apple
if (mover.Move())
{
apples++;
// In which steps ate, to determine the best in the case that both ate all the apples
lastStep = i;
}
if (apples == AppleField.FoodCount)
{
break;
}
}
return(apples - 1.0 * lastStep / MaxStepsCount);
}
