public static void Main(string[] args)
{
Queue <IterationContext> cq = new Queue <IterationContext>();
int start = 0;
int antCount = 100;
double alpha = .27;
double beta = 8.8;
double pheromoneEvaporationCoef = 0.7;
double pheromoneConstant = 250;
int maxIters = 100;
if (args[0] == "-genarate")
{
int numOfGraphs = 1;
int maxNodes = 20;
int minNodes = 5;
int maxWeight = 3000;
int minWeight = 500;
Generator g = new Generator(numOfGraphs, maxNodes, minNodes, maxWeight, minWeight);
var graphs = g.generate(); //array of matricies of graphs
Console.WriteLine("Graphs generated");
foreach (LowerTriangularMatrix <double> lt in graphs)
{
lt.writeToFile("test.txt");
Console.WriteLine(lt.size);
begin(lt, start, antCount, alpha, beta, pheromoneEvaporationCoef, pheromoneConstant
, maxIters, cq);
}
}
else if (args[0] == "-run")
{
LowerTriangularMatrix <double> lt = new LowerTriangularMatrix <double>(0);
lt.readFromFile(args[1]);
begin(lt, start, antCount, alpha, beta, pheromoneEvaporationCoef, pheromoneConstant
, maxIters, cq);
}
else if (args[0] == "-genetic")
{
GeneticAlg g = new GeneticAlg(5000);
g.start();
}
else
{
Console.WriteLine("Need an option besides [-generate,-genetic,-run <path>]? Add it :D");
return;
}
}
void Awake()
{
instance = this;
generation = 1;
timer = 0.0f;
landerPos = new Vector3(Random.Range(-16, 17), 0, Random.Range(10, 16));
for (int i = 0; i < lunarsNum; i++)
{
GameObject obj = Instantiate(landerPrefab, landerPos, Quaternion.Euler(90, 0, 0));
Lander lan = obj.GetComponent <Lander>();
lan.SetBrain(inputs, outputs, numHiddenLayers, numNeuronPerHiddenLayer, bias, sigmoidPending);
lan.SetLimits(maxHeight, maxWidth);
if (i == 0)
{
ga = new GeneticAlg(elitesNum, lunarsNum, lan.GetNumberOfWeights(), mutation);
}
landers.Add(lan);
}
plataform = Instantiate(plataformPrefab, new Vector3(Random.Range(-17, 18), 0, Random.Range(-15, -9)), Quaternion.Euler(90, 0, 0));
}
// Use this for initialization
void Start()
{
genAlg = new GeneticAlg();
int totalWeights = ((nnSettings.numInputs + 1) * nnSettings.numNeuronsPerHidden)
+ (nnSettings.numNeuronsPerHidden + 1) * nnSettings.numOutputs;
genAlg.GenerateNewPopulation(populationPerGeneration, totalWeights);
currentAgentFitness = 0.0f;
bestFitness = 0.0f;
currentTimer = 0.0f;
neuralNet = new NeuralNet();
neuralNet.CreateNet(1, nnSettings.numInputs, nnSettings.numNeuronsPerHidden, nnSettings.numOutputs);
Genome genome = genAlg.GetNextGenome();
//neuralNet.FromGenome (genome, 5, 8, 2);
neuralNet.FromGenome(genome, nnSettings.numInputs, nnSettings.numNeuronsPerHidden, nnSettings.numOutputs);
}
// Use this for initialization
void Awake()
{
instance = this;
generation = 1;
for (int i = 0; i < mineNum; i++)
{
GameObject obj = Instantiate(mine, new Vector3(Random.Range(1 - (float)maxWidth, (float)maxWidth) - 1, 0, Random.Range(1 - (float)maxHeight, (float)maxHeight - 1)), Quaternion.Euler(0, 0, 0));
obj.GetComponent <Mine>().SetLimits(maxHeight, maxWidth);
mines.Add(obj);
}
for (int i = 0; i < agentNum; i++)
{
GameObject obj = Instantiate(agent, new Vector3(Random.Range(1 - (float)maxWidth, (float)maxWidth) - 1, 0, Random.Range(1 - (float)maxHeight, (float)maxHeight - 1)), Quaternion.Euler(0, Random.Range(0.0f, 360.0f), 0));
Tank tank = obj.GetComponent <Tank>();
tank.SetLimits(maxHeight, maxWidth);
tank.SetBrain(inputs, outputs, numHiddenLayers, numNeuronPerHiddenLayer, bias, sigmoidPending);
if (i == 0)
{
ga = new GeneticAlg(elitesNum, agentNum, tank.GetNumberOfWeights(), mutation);
}
agents.Add(tank);
}
}
/// <summary>
/// Start is called on the frame when a script is enabled just before
/// any of the Update methods is called the first time.
/// </summary>
void Start()
{
AIControl = GetComponent <GeneticAlg>();
}