public Cosmos(int NumFood, int NumAnts, Size ClientSize, Graphics g, ListView initListAnalysis, Panel p, BufferedGraphics gr)
{
clientSize = ClientSize;
this.g = g;
listAnalysis = initListAnalysis;
panel = p;
grafx = gr;
numFood = NumFood;
food = new PointF[numFood];
RandomFood();
numAnts = NumAnts;
ants = new Ants[numAnts];
Cosmos.elitismPopulation = (int)(numAnts * Cosmos.elitismRate);
//create random ants
for (int i = 0; i < numAnts; i++)
{
ants[i] = new Ants(clientSize, this, null, i + 1);
}
}
//choose to mutate and create new gen.
private void NewGeneration()
{
int totalFit = CalculateFitness();
if (useElitism == true || landMines == true)
{
Sort();
if (landMines)
{
for (int j = 3, i = 0; j < Cosmos.elitismPopulation + 1; j++, i++)
{
ants[j].net.Weights = ants[0].net.Weights;
}
Array temp1 = ants[0].net.Weights;
Array temp2 = ants[numAnts - Cosmos.elitismPopulation].net.Weights;
Mate(ref temp1, ref temp2);
ants[0].net.Weights = temp1;
ants[numAnts - Cosmos.elitismPopulation].net.Weights = temp2;
}
}
Array parent1;
Array parent2;
Ants[] newAnts = new Ants[numAnts];
//create new gen
for (int i = 0; i < (numAnts / 2); i++)
{
parent1 = ants[RouletteWheel(totalFit)].net.Weights;
parent2 = ants[RouletteWheel(totalFit)].net.Weights;
Mutate(parent1);
Mutate(parent2);
newAnts[i * 2] = new Ants(clientSize, this, parent1, i * 2);
newAnts[i * 2 + 1] = new Ants(clientSize, this, parent2, i * 2 + 1);
}
//replace and leave the other to GC
ants = newAnts;
}
public Cosmos(int NumFood, int NumAnts, Size ClientSize, Graphics g, ListView initListAnalysis, Panel p, BufferedGraphics gr)
{
clientSize = ClientSize;
this.g = g;
listAnalysis = initListAnalysis;
panel = p;
grafx = gr;
numFood = NumFood;
food = new PointF[numFood];
RandomFood();
numAnts = NumAnts;
ants = new Ants[numAnts];
Cosmos.elitismPopulation = (int)(numAnts * Cosmos.elitismRate);
//create random ants
for (int i = 0; i < numAnts; i++)
ants[i] = new Ants(clientSize, this, null, i + 1);
}
public Cosmos(int NumAnts, Size ClientSize, Graphics g, ListView initListAnalysis, Panel p, BufferedGraphics gr, string[] inputFile)
{
// m_objDrawing = new Ivan.Drawing();
// m_objDrawing.Read(@"C:\Users\kogunlana\Documents\Airbus 2D CAD\A320-100.dwg");
clientSize = ClientSize;
this.g = g;
listAnalysis = initListAnalysis;
panel = p;
grafx = gr;
int count = 0;
int countObs = 0;
int countAgent = 0;
for (int k = 0; k < inputFile.Length; k++)
{
if (inputFile[k].Contains("Goals"))
{
string[] goal = inputFile[k].Split(' ');
numFood = int.Parse(goal[1]);
food = new PointF[numFood];
}
if (inputFile[k].Contains("goal"))
{
string[] goal = inputFile[k].Split(' ');
food[count].X = (float)(Double.Parse(goal[1]));
food[count].Y = (float)(Double.Parse(goal[2]));
count++;
}
if (inputFile[k].Contains("Obstacles"))
{
string[] obstacle = inputFile[k].Split(' ');
polygons = new Polygon[int.Parse(obstacle[1])];
}
if (inputFile[k].Contains("obstacle"))
{
if (countObs < polygons.Length)
{
int countPolygon = 0;
polygons[countObs] = new Polygon();
while (countPolygon < 4)
{
// read next 4 lines of input file for polygon
k++;
string[] obstacle = inputFile[k].Split(' ');
polygons[countObs].Points.Add(new Vector2(int.Parse(obstacle[0]), int.Parse(obstacle[1])));
countPolygon++;
}
countObs++;
}
}
if (inputFile[k].Contains("agentCircles"))
{
string[] agent = inputFile[k].Split(' ');
numAnts = int.Parse(agent[1]);
ants = new Ants[numAnts];
}
if (inputFile[k].Contains("type"))
{
string[] agents = inputFile[k].Split(' ');
ants[countAgent] = new Ants(clientSize, this, null, countAgent + 1);
ants[countAgent].agentType = agents[1];
// countAgent++;
}
if (inputFile[k].Contains("position"))
{
string[] pos = inputFile[k].Split(' ');
ants[countAgent].x = (Double.Parse(pos[1]));
ants[countAgent].y = (Double.Parse(pos[2]));
}
if (inputFile[k].Contains("speed"))
{
string[] speed = inputFile[k].Split(' ');
ants[countAgent].antMaxSpeed = (Double.Parse(speed[1]));
countAgent++;
}
}
/* polygons[countObs] = new Polygon();
* polygons[countObs].Points.Add(new Vector2(5, 20));
* polygons[countObs].Points.Add(new Vector2(1015, 20));
* polygons[countObs].Points.Add(new Vector2(1015, 5));
* polygons[countObs].Points.Add(new Vector2(5, 5));
*
* countObs++;
* polygons[countObs] = new Polygon();
* polygons[countObs].Points.Add(new Vector2(5, 695));
* polygons[countObs].Points.Add(new Vector2(57, 695));
* polygons[countObs].Points.Add(new Vector2(57, 5));
* polygons[countObs].Points.Add(new Vector2(5, 5));
*
* countObs++;
* polygons[countObs] = new Polygon();
* polygons[countObs].Points.Add(new Vector2(5, 670));
* polygons[countObs].Points.Add(new Vector2(1015, 670));
* polygons[countObs].Points.Add(new Vector2(1015, 695));
* polygons[countObs].Points.Add(new Vector2(5, 695));
*
* countObs++;
* polygons[countObs] = new Polygon();
* polygons[countObs].Points.Add(new Vector2(1015, 200));
* polygons[countObs].Points.Add(new Vector2(965, 200));
* polygons[countObs].Points.Add(new Vector2(965, 5));
* polygons[countObs].Points.Add(new Vector2(1015, 5));
*
* countObs++;
* polygons[countObs] = new Polygon();
* polygons[countObs].Points.Add(new Vector2(1015, 400));
* polygons[countObs].Points.Add(new Vector2(965, 400));
* polygons[countObs].Points.Add(new Vector2(965, 250));
* polygons[countObs].Points.Add(new Vector2(1015, 250));
*
* countObs++;
* polygons[countObs] = new Polygon();
* polygons[countObs].Points.Add(new Vector2(1015, 695));
* polygons[countObs].Points.Add(new Vector2(965, 695));
* polygons[countObs].Points.Add(new Vector2(965, 450));
* polygons[countObs].Points.Add(new Vector2(1015, 450)); */
//RandomFood();
AssignGoal();
//numAnts = NumAnts;
Cosmos.elitismPopulation = (int)(numAnts * Cosmos.elitismRate);
//create random ants
// for (int i = 0; i < numAnts; i++)
// ants[i] = new Ants(clientSize, this, null, i + 1);
polygon.Points.Add(new Vector2(300, 200));
polygon.Points.Add(new Vector2(450, 250));
polygon.Points.Add(new Vector2(300, 350));
polygon.Points.Add(new Vector2(200, 300));
}
//choose to mutate and create new gen.
private void NewGeneration()
{
int totalFit = CalculateFitness();
if (useElitism == true || landMines == true)
{
Sort();
if (landMines)
{
for (int j = 3, i = 0; j < Cosmos.elitismPopulation + 1; j++, i++)
ants[j].net.Weights = ants[0].net.Weights;
Array temp1 = ants[0].net.Weights;
Array temp2 = ants[numAnts - Cosmos.elitismPopulation].net.Weights;
Mate(ref temp1, ref temp2);
ants[0].net.Weights = temp1;
ants[numAnts - Cosmos.elitismPopulation].net.Weights = temp2;
}
}
Array parent1;
Array parent2;
Ants[] newAnts = new Ants[numAnts];
//create new gen
for (int i = 0; i < (numAnts / 2); i++)
{
parent1 = ants[RouletteWheel(totalFit)].net.Weights;
parent2 = ants[RouletteWheel(totalFit)].net.Weights;
Mutate(parent1);
Mutate(parent2);
newAnts[i * 2] = new Ants(clientSize, this, parent1, i * 2);
newAnts[i * 2 + 1] = new Ants(clientSize, this, parent2, i * 2 + 1);
}
//replace and leave the other to GC
ants = newAnts;
}
