// Use this for initialization
void Start()
{
genAlg = new GeneticAlgorithm();
genAlg.GenerateNewPopulation(POPULATION_SIZE, TOTAL_WEIGHTS);
currentAgentFitness = 0.0f;
bestFitness = 0.0f;
neuralNet = new NNet();
neuralNet.CreateNet(1, NO_OF_INPUTS, NO_OF_HIDDEN, NO_OF_OUTPUTS);
Genome genome = genAlg.GetNextGenome();
neuralNet.FromGenome(genome, NO_OF_INPUTS, NO_OF_HIDDEN, NO_OF_OUTPUTS);
//Road Generation
currCentreRoad = TrackStart.transform.position;
currLeftRoad = currCentreRoad + new Vector3(0, 0, ROAD_WIDTH / 2);
currRightRoad = currCentreRoad + (currCentreRoad - currLeftRoad);
currTheta = TrackStart.transform.eulerAngles.y * Mathf.PI / 180; //convert to radions;
carObject = Instantiate(car, currLeftRoad + ((currRightRoad - currLeftRoad) / 2), Quaternion.identity);
carObject.transform.Rotate(new Vector3(0, currTheta * (180 / Mathf.PI), 0), Space.World);
testAgent = carObject.GetComponent <Agent> ();
testAgent.Attach(neuralNet);
GameObject cam = GameObject.Find("Main Camera");
CameraMovement camMov = cam.GetComponent <CameraMovement> ();
camMov.Target = carObject.transform;
BuildNextRoadSegment();
BuildNextRoadSegment();
BuildNextRoadSegment();
BuildNextRoadSegment();
}
void Start()
{
hasFailed = false;
neuralnet = new NNet();
neuralnet.CreateNet(2, 8, 8, 8);
_GDB = GameObject.FindGameObjectWithTag("MainUI").GetComponent <GlobalDB>();
_SEL = GameObject.FindGameObjectWithTag("MainUI").GetComponent <Select>();
}
// Use this for initialization
void Start()
{
hasFailed = false;
neuralnet = new NNet();
neuralnet.CreateNet(1, 5, 8, 2);
raycast = gameObject.GetComponent <RayCast> ();
l = raycast.dis_l;
fl = raycast.dis_fl;
f = raycast.dis_f;
fr = raycast.dis_fr;
r = raycast.dis_fr;
leftForce = 0.0f;
rightForce = 0.0f;
leftTheta = 0.0f;
rightTheta = 0.0f;
hit = gameObject.GetComponent <hit> ();
}
// Use this for initialization
void Start()
{
genAlg = new GA();
int totalWeights = 5 * 8 + 8 * 2 + 8 + 2;
genAlg.GenerateNewPopulation(15, totalWeights);
currentAgentFitness = 0.0f;
bestFitness = 0.0f;
neuralNet = new NNet();
neuralNet.CreateNet(1, 5, 8, 2);
Genome genome = genAlg.GetNextGenome();
neuralNet.FromGenome(genome, 5, 8, 2);
testAgent = gameObject.GetComponent <Agent>();
testAgent.Attach(neuralNet);
hit = gameObject.GetComponent <hit>();
checkpoints = hit.checkpoints;
defaultpos = transform.position;
defaultrot = transform.rotation;
}
void Start()
{
controller = MainController.Instance;
hasFailed = false;
neuralnet = new NNet();
neuralnet.CreateNet(1, controller.inputCount, controller.hiddenNeuronsCount, controller.outputCount);
raycast = gameObject.GetComponent <RayCast> ();
l = raycast.dis_l;
fl = raycast.dis_fl;
f = raycast.dis_f;
fr = raycast.dis_fr;
r = raycast.dis_fr;
leftForce = 0.0f;
rightForce = 0.0f;
leftTheta = 0.0f;
rightTheta = 0.0f;
hit = gameObject.GetComponent <hit> ();
}
void Start()
{
controller = MainController.Instance;
genAlg = new GA();
int totalWeights = (controller.hiddenNeuronsCount + 1) * (controller.inputCount + controller.outputCount);
genAlg.GenerateNewPopulation(controller.genomeCount, totalWeights);
currentAgentFitness = 0.0f;
bestFitness = 0.0f;
neuralNet = new NNet();
neuralNet.CreateNet(1, controller.inputCount, controller.hiddenNeuronsCount, controller.outputCount);
Genome genome = genAlg.GetNextGenome();
neuralNet.FromGenome(genome, controller.inputCount, controller.hiddenNeuronsCount, controller.outputCount);
testAgent = gameObject.GetComponent <Agent>();
testAgent.Attach(neuralNet);
hit = gameObject.GetComponent <hit> ();
checkpoints = hit.checkpoints;
defaultpos = transform.position;
}
public Genome(int nInput, int nHiddenLayer, int nHiddenLayerNeurons, int nOutput, int genomeID)
{
net = new NNet();
net.CreateNet(nInput, nHiddenLayer, nHiddenLayerNeurons, nOutput);
this.ID = genomeID;
}