View of /trunk/gadgetMerluza2015/model/optinfo_pso.long

;
; options for the PSO optimisation
;
[pso]
goal        1e-6  ; optimization goal (error threshold)
size        400   ; swarm size (number of particles). Must be higher that the number of parameters
psoiter     100  ; maximum number of iterations
c1          0.4   ; cognitive coefficient
c2          0.6   ; social coefficient
w_max       1     ; Maximum inertia weight value
w_min       0.1   ; min inertia weight value
clamp_pos   1     ; whether to keep particle position within defined bounds (TRUE) or apply periodic boundary conditions (FALSE)
nhood_strategy 0  ; neighborhood strategy (global best topology=0, ring topology = 1, Random neighborhood topology=2)
nhood_size  1     ; neighborhood size
w_strategy  0     ; inertia weight strategy (constant=0, line=1)
;;seed        1000  ; seed for the generator only for PSO optimisation