List of parameters and hyperparameters for Particle Swarm Optimization

Arguments

psopartpopsize

number of particles in swarm (discrete value)
(‘autopar’ context: default value 8, which means that 8 different neural net hyperparameters sets will be tested
(‘hpar’ context: default value 50, which means that 50 neural net weights sets will be tested
#tuning priority 1

psovarvalmin

Minimum value for particles positions (default value -10)

psovarvalmax

maximum value for particles positions (default value 10)

psovelocitymaxratio

ratio applied to limit velocities (continuous value between 0 and 1, default value 0.2)

psoinertiadampratio

inertia damp ratio (continuous value between 0 and 1, default value 1 equivalent to OFF)

psokappa

kappa (default value 1)

psophi1

Phi 1 (default value 2.05)

psophi2

Phi 2 (default value 2.05)

See also

PSO video tutorial from Yarpiz