## Particle Swarm Optimization (PSO) in C#

Particle Swarm Optimization (PSO) is a computational method for optimization of a problem by simulating a set of moving particles that move around a search-space. Now let’s say that you want to find the (global) minimum of the square function: f(x) = x[0]^2 + x[1]^2.

 var solverConfig = PSOSolverConfig.CreateDefault(
numberParticles: 500,
maxEpochs: 1000,
lowerBound: new double[] {-20, -20},
upperBound: new double[] {10, 10},
isStoppingCriteriaEnabled: false); // If not enabled, the optimization, will run over the total number of epochs (maxEpochs).

Func<double[], double> func = x => (x[0] * x[0]) + (x[1] * x[1]);
var solver = new ParticleSwarmMinimization(func, solverConfig);

solver.OnAfterEpoch += (s, d) =>
{
Console.WriteLine($"Iteration: {d.Iteration}\n" +$"Best fitness: {d.BestFitness:##.000} \n" +
$"Best global position: " +$"x1: {d.BestPosition[0]:##.000}" +
\$"x2: {d.BestPosition[1]:##.000}");
};

var solution = solver.Solve();
Assert.AreEqual(0, solution.BestPosition[0], 1E-6);
Assert.AreEqual(0, solution.BestPosition[1], 1E-6);


The source code can be found on https://github.com/isachpaz/OptimizationSharp