public Game(int width, int height, int snake_length)
{
this.snake_length = snake_length;
snake_length_count = snake_length;
this.width = width;
this.height = height;
board = new Entity[width, height];
controller = new FFNN(40, 6, 3);
}
public Game(int width, int height, int snake_length, int vision, bool smell)
{
if (vision < 1)
throw new ArgumentOutOfRangeException("vision must be 1 or more");
//snake properties
this.vision = vision;
this.smell = smell;
this.snake_length = snake_length;
snake_length_count = snake_length;
controller = new FFNN(vision * 12 + (smell ? 4 : 0), 6, 3);
//board properties
this.width = width;
this.height = height;
board = new Entity[width, height];
}
// ===========================================================================================
// CONSTRUCTOR
/*
* I used this link when I wrote the GA to remember the structure of the program:
* http://cstheory.stackexchange.com/questions/14758/tournament-selection-in-genetic-algorithms
* selection modifier could be % of pop chosen for tournament selection... depends on selection implementation
*/
public GA( Game snake, int pop_size )
{
// DEFAULT PROPERTY VALUES
ProbMutate = (float)0.05;
StdDev = (float)0.50;
SelectMod = (float)0.10;
NumRuns = (int)30;
// INITIALIZE VARIABLES
SnakeGame = (Game)snake;
NeuralNet = snake.GetNN();
Genes = NeuralNet.NumWeights;
PopSize = pop_size;
Population = new double[PopSize][];
for (int p = 0; p < pop_size; p++)
Population[p] = new double[Genes];
Fitnesses = new double[PopSize];
// CREATE AN ARRAY FOR TOURNAMENT SELECTION
shuffled = new int[pop_size];
for (int x = 0; x < pop_size; x++) { shuffled[x] = x; }
ShuffleArray(shuffled); // SHUFFLE IT ONCE BEFORE USE
}
