mc::optim Namespace Reference

Classes
class	GA
	Genetic Algorithm optimizer. More...
struct	GAConfig
	Configuration parameters for GA. More...
class	Optimizer
	Abstract base class for all optimization algorithms. More...
class	PSO
	Particle Swarm Optimization algorithm. More...
struct	PSOConfig
	Configuration parameters for PSO. More...
struct	Solution
	Represents a candidate solution in the search space. More...

Typedefs
using	Real = double
	Scalar precision used across optimizers.
using	Coordinates = std::vector< Real >
	A point in the N-dimensional search space.
using	ObjectiveFunction = std::function< Real(const Coordinates &)>
	Objective function signature.

Enumerations
enum class	OptimizationMode { MINIMIZE , MAXIMIZE }
	Optimization goal. More...

Typedef Documentation

Coordinates

using mc::optim::Coordinates = typedef std::vector<Real>

A point in the N-dimensional search space.

Definition at line 31 of file types.hpp.

ObjectiveFunction

using mc::optim::ObjectiveFunction = typedef std::function<Real(const Coordinates&)>

Objective function signature.

Takes coordinates as input and returns a scalar cost/fitness.

Definition at line 37 of file types.hpp.

Real

using mc::optim::Real = typedef double

Scalar precision used across optimizers.

Note

Changing to float or long double updates the whole package.

Definition at line 26 of file types.hpp.

Enumeration Type Documentation

OptimizationMode

enum class mc::optim::OptimizationMode

strong

Optimization goal.

Enumerator
MINIMIZE
MAXIMIZE

Definition at line 42 of file types.hpp.