static void RunPSO(TravellingSalesmanMap TSP)
{
//cria novo PSO
PSO pso = new PSO(TSP, 100, 10000, TSP.OptimalTravelDistance);
//roda o PSO
TSPSolution s = (TSPSolution)pso.Run();
//imprime a solução
Console.WriteLine("Optimal Solution: " + TSP.OptimalTravelDistance);
Console.WriteLine("Solution Found: " + s.Fitness);
Console.ReadKey();
}
static void Main(string[] args)
{
Console.WriteLine("Testing PSO");
//defines the number of variables needed
//here, {x,y}
//if more are needed, add them to the testPositionVector
//ex. {x1, y1, z1, x2, y2, z2, ...}
List <float> testPositionVector = new List <float>()
{
0, 0
};
//defines the boundaries for each variable in an NxM dimensional list of lists
//ex. {{xmin, xmax}, { ymin, ymax}}
List <List <float> > testPositionBoundaries = new List <List <float> >()
{
new List <float>()
{
-3f, 3f
},
new List <float>()
{
-2f, 2f
}
};
//defines the maximum move rate of the particles in the swarm
//choose wisely so that particles do not move too quickly around the solution space
float maximumparticlevelocity = 0.0001f;
//create and initilize the swarm
//define the objective function based on list like the previously defined testPositionVector
//here refer to the testObjective method
PSO mySwarm = new PSO(testPositionVector, testPositionBoundaries, maximumparticlevelocity, testObjective);
//define a seed based on the computers current time
//to use a unique seed each run and record it use the following line.
//(int)DateTime.Now.Ticks & 0x0000FFFF;
int seed = 3611;// 10210;
//reset the swarms random number generator; used for repeatability
//here defined above
mySwarm.setRNGseed(seed);
//reset rho values tht balance personal and population cognition
//here, more weight is placed on personal cognition
//rho1 + rho2 should sum to 4 if using constriction (K)
//uncomment
//mySwarm.setRhoValues(2.25f, 1.75f);
//use constriction parameter (K) to modify amount of modification of velocity updates
//uncomment
//mySwarm.setK(true);
//run your swarm for some number of iterations with some number of particles
List <float> output = mySwarm.Run(100000, 10);//minimize
Console.Write("Best found solution: (");
for (int i = 0; i < output.Count; i++)
{
Console.Write(mySwarm.getGlobalBestPositionVector()[i] + " ");
}
Console.Write(") " + mySwarm.getGlobalBestObjectiveFunctionValue());
Console.Write("\tseed= " + seed);
Console.WriteLine("\r\n\r\nglobal min = (0.094262, -0.71509) -1.031514");
Console.ReadKey(); //wait for input
}