Particle Swarm Optimizer Constructor
            
            Definition
Namespace: Numerics.NET.Optimization
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.1.5
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.1.5
Overload List
| Particle | Constructs a new ParticleSwarmOptimizer class. | 
| Particle | Constructs a new Particle Swarm optimizer with specified parameters. | 
ParticleSwarmOptimizer
            Constructs a new ParticleSwarmOptimizer class.
            
public ParticleSwarmOptimizer()ParticleSwarmOptimizer(Func<Vector<Double>, Double>, Vector<Double>, Vector<Double>, Random, Int32, Double, Double, Double, Double, PopulationInitializationMethod, Double, Int32, ParticleSwarmTopology, Int32)
            Constructs a new Particle Swarm optimizer with specified parameters.
            
public ParticleSwarmOptimizer(
	Func<Vector<double>, double> objectiveFunction,
	Vector<double> lowerBounds,
	Vector<double> upperBounds,
	Random? random = null,
	int populationMultiplier = 10,
	double inertiaWeight = 0.729,
	double cognitiveCoefficient = 1.49445,
	double socialCoefficient = 1.49445,
	double maxVelocity = 4,
	PopulationInitializationMethod initializationMethod = PopulationInitializationMethod.Random,
	double populationDiversityTolerance = 0.0001,
	int stagnationLimit = 20,
	ParticleSwarmTopology topology = default,
	int maxIterations = 8192
)Parameters
- objectiveFunction Func<Vector<Double>, Double>
 - The objective function to optimize.
 - lowerBounds Vector<Double>
 - The lower bounds for each parameter.
 - upperBounds Vector<Double>
 - The upper bounds for each parameter.
 - random Random (Optional)
 - Optional. A random number generator to use. The default is DefaultRandomNumberGenerator.
 - populationMultiplier Int32 (Optional)
 - Optional. A multiplier for the population size. The total population is the number of free parameters times this value. The default is 10.
 - inertiaWeight Double (Optional)
 - Optional. The inertia weight (ω) used to control impact of previous velocities. The default is 0.729 (Clerc's constriction coefficient).
 - cognitiveCoefficient Double (Optional)
 - Optional. The cognitive coefficient (c1) controlling influence of personal best. The default is 1.49445.
 - socialCoefficient Double (Optional)
 - Optional. The social coefficient (c2) controlling influence of global best. The default is 1.49445.
 - maxVelocity Double (Optional)
 - Optional. Maximum velocity factor as proportion of search space. The default is 4.0.
 - initializationMethod PopulationInitializationMethod (Optional)
 - Optional. The method used to initialize population. The default is Random.
 - populationDiversityTolerance Double (Optional)
 - Optional. Tolerance for population diversity test. The default is 1e-4.
 - stagnationLimit Int32 (Optional)
 - Optional. Number of iterations without improvement before declaring stagnation. The default is 20.
 - topology ParticleSwarmTopology (Optional)
 - Optional. The topology of the particle swarm. The default is Global.
 - maxIterations Int32 (Optional)
 - Optional. Maximum number of iterations. The default is 8192.