void Start()
{
// create main library objects: camera man, solver, problem bounds
camLibCam = new CLLookAtCameraMan();
psoSolver = new PSOSolver(6); // for 6 degrees of freedom VC problem
psoSolver.SetSolverParameters(20, randomParticles, new float[] { 1.0f, 1.0f, 0.8f, 0.4f }); // number of particles, fraction of randomly initialized particles, c1, c2, w_init, w_end
Camera unityCamera = GetComponentInParent <Camera> ();
camLibCam.unityCamera = unityCamera;
}
private async Task RunSolver()
{
var solverOptions = new PSOSolverOptions
{
NumDimensions = 2,
NumParticles = 50,
MaxEpochs = 500,
MinimumX = -10.0,
MaximumX = 10.0,
AcceptanceError = 0.00000000,
InertiaWeight = 0.729,
C1CognitiveWeight = 1.5,
C2SocialWeight = 1.5,
ParticleResetProbability = 0.001,
// Slower convergence params for visualization
//VelocityInitialAtenuation = 0.01
//InertiaWeight = 0.02,
//C1CognitiveWeight = 0.05,
//C2SocialWeight = 0.05,
};
var solver = new PSOSolver(ErrorFunction, solverOptions);
var data = solver.Initialize();
if (mParticles == null)
{
SetupFunctionPlot(data);
mParticles = SetupParticlesPlot(data);
Show3d.ZoomExtents();
}
solver.AfterEpoch += (s, d) =>
{
Dispatcher.Invoke(() =>
{
mParticles.UpdateParticles(d.Particles);
mParticles.UpdateBest(d.BestGlobalPosition, Function2d(d.BestGlobalPosition));
UpdateStatusLabels(d);
});
Task.Delay(30).Wait();
};
StatusLabel.Content = "Particle Swarm Optimizer Running";
var res = await solver.SolveAsync(data);
StatusLabel.Content = "Solver finished";
}
