static int nChromVals = 1 << chromLeng; // Number of values for that many bits
public static void Main(string[] args)
{
// Create the population, either from the file or from scratch
// Presumably the popSize would be the number of NPCs that will be
// spawned for a round. The data file name is set here as well by
// passing it into the constructor.
// The 0.9 is the crossover probability, and the 0.1 is the mutation
// probability, which will be used in breeding new individuals.
// Normally, the crossover probability should be high (near 1.0),
// and the mutation probability should be low (near 0.0).
ThreshPop tp = new ThreshPop(chromLeng, popSize, "test1.txt", 0.9, 0.1);
// Local storage for the chromosomes and fitness values to demonstrate
// how the ThreshPop is used. In this case, we'll just store an array
// of chromosomes to represent the checked out population and manipulate
// them in simple loops to make something happen.
// In your game, a given threshold would be an attribute of an NPC,
// and the fitness would be determined when that NPC is "done".
uint [] chroms = new uint[popSize];
// Check out all the individuals from the population to get their chroms.
// In your game a CheckOut would be done when an NPC is spawned,
// one at a time.
int i = 0;
while (!tp.AllCheckedOut())
{
chroms[i] = tp.CheckOut();
i++;
}
// Determine fitness values for everyone & check them all back into
// the new population.
// In the your game, this would happen one at a time as each NPC
// is "done" and its fitness can be figured.
// Note that the Individuals can be checked into the new population
// in any order, likely not the order they were checked out.
i = 0;
while (!tp.AllCheckedIn())
{
int fit = Fitness(Gen2Phen(chroms[i])); // Determine fitness
tp.CheckIn(chroms[i], fit); // CheckIn to next generation
i++;
}
// Save the new population for next time.
// This would be done at the end of each "round" of your game.
tp.WritePop();
// Display new population on the Console to see what happened.
tp.DisplayPop(1);
}
static int popSize = 20; // Population size
#endregion Fields
#region Methods
public static void Main(string[] args)
{
// Create the population, either from the file or from scratch
// Presumably the popSize would be the number of NPCs that will be
// spawned for a round. The data file name is set here as well by
// passing it into the constructor.
// The 0.9 is the crossover probability, and the 0.1 is the mutation
// probability, which will be used in breeding new individuals.
// Normally, the crossover probability should be high (near 1.0),
// and the mutation probability should be low (near 0.0).
ThreshPop tp = new ThreshPop(chromLeng, popSize, "test1.txt", 0.9, 0.1);
// Local storage for the chromosomes and fitness values to demonstrate
// how the ThreshPop is used. In this case, we'll just store an array
// of chromosomes to represent the checked out population and manipulate
// them in simple loops to make something happen.
// In your game, a given threshold would be an attribute of an NPC,
// and the fitness would be determined when that NPC is "done".
uint [] chroms = new uint[popSize];
// Check out all the individuals from the population to get their chroms.
// In your game a CheckOut would be done when an NPC is spawned,
// one at a time.
int i = 0;
while (! tp.AllCheckedOut())
{
chroms[i] = tp.CheckOut();
i++;
}
// Determine fitness values for everyone & check them all back into
// the new population.
// In the your game, this would happen one at a time as each NPC
// is "done" and its fitness can be figured.
// Note that the Individuals can be checked into the new population
// in any order, likely not the order they were checked out.
i = 0;
while (! tp.AllCheckedIn())
{
int fit = Fitness(Gen2Phen(chroms[i])); // Determine fitness
tp.CheckIn(chroms[i], fit); // CheckIn to next generation
i++;
}
// Save the new population for next time.
// This would be done at the end of each "round" of your game.
tp.WritePop();
// Display new population on the Console to see what happened.
tp.DisplayPop(1);
}
