MathOpt_PSO.hxx File Reference

#include <MathUtils_Types.hxx>
#include <MathUtils_Config.hxx>
#include <MathUtils_Core.hxx>
#include <MathUtils_LineSearch.hxx>
#include <MathUtils_Random.hxx>
#include <NCollection_DynamicArray.hxx>
#include <cmath>
#include <optional>

Data Structures
struct	MathOpt::PSOSeedParticle
	Seed particle for PSO initialization. More...
struct	MathOpt::PSOStats
	Statistics collected during PSO execution. More...
struct	MathOpt::PSOConfig
	Configuration for Particle Swarm Optimization. More...

Namespaces
namespace	MathOpt
	Optimization algorithms for scalar and vector functions.

Enumerations
enum class	MathOpt::PSOInitMode { MathOpt::RandomOnly , MathOpt::SeededOnly , MathOpt::SeededPlusRandom }
	Initialization mode for PSO particles. More...
enum class	MathOpt::PSOBoundaryMode { MathOpt::Clamp , MathOpt::Reflect , MathOpt::Wrap }
	Boundary handling mode for particles leaving the search space. More...
enum class	MathOpt::PSOInertiaSchedule { MathOpt::Constant , MathOpt::LinearDecay }
	Inertia weight schedule. More...

Functions
template<typename Function >
void	MathOpt::PolishCoordinateWise (Function &theFunc, math_Vector &thePosition, double &theValue, const math_Vector &theLowerBounds, const math_Vector &theUpperBounds, double theTolerance, int theMaxPolishEvals, int &theEvalCount)
	Coordinate-wise polishing using Brent's 1D minimization. For each dimension, performs Brent's method directly on the single coordinate, modifying only one element of the position vector per evaluation (zero-allocation).
template<typename Function >
VectorResult	MathOpt::PSO (Function &theFunc, const math_Vector &theLowerBounds, const math_Vector &theUpperBounds, const PSOConfig &theConfig, const NCollection_DynamicArray< PSOSeedParticle > *theSeeds, PSOStats *theStats=nullptr)
	Particle Swarm Optimization for global minimization.
template<typename Function >
VectorResult	MathOpt::PSO (Function &theFunc, const math_Vector &theLowerBounds, const math_Vector &theUpperBounds, const PSOConfig &theConfig=PSOConfig())
	Particle Swarm Optimization for global minimization (basic overload).