mc::optim::PSOConfig Struct Reference

Configuration parameters for PSO. More...

#include <PSO.hpp>

Collaboration diagram for mc::optim::PSOConfig:

Public Attributes
size_t	population_size = 50
	Number of particles in the swarm.
size_t	max_iterations = 100
	Number of iterations to run the optimizer.
Real	inertia_weight = 0.7
	Inertia weight (w): scales previous velocity.
Real	cognitive_coeff = 1.5
	Cognitive coefficient (c1): scales attraction to particle best.
Real	social_coeff = 1.5
	Social coefficient (c2): scales attraction to global best.

Detailed Description

Configuration parameters for PSO.

Definition at line 21 of file PSO.hpp.

Member Data Documentation

cognitive_coeff

Real mc::optim::PSOConfig::cognitive_coeff = 1.5

Cognitive coefficient (c1): scales attraction to particle best.

Definition at line 30 of file PSO.hpp.

inertia_weight

Real mc::optim::PSOConfig::inertia_weight = 0.7

Inertia weight (w): scales previous velocity.

Definition at line 28 of file PSO.hpp.

max_iterations

size_t mc::optim::PSOConfig::max_iterations = 100

Number of iterations to run the optimizer.

Definition at line 25 of file PSO.hpp.

population_size

size_t mc::optim::PSOConfig::population_size = 50

Number of particles in the swarm.

Definition at line 23 of file PSO.hpp.

social_coeff

Real mc::optim::PSOConfig::social_coeff = 1.5

Social coefficient (c2): scales attraction to global best.

Definition at line 32 of file PSO.hpp.

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The documentation for this struct was generated from the following file:

• src/montecarlo/optimizers/PSO.hpp