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

;
; options for the Simulated Annealing optimisation
;
;[simann]
;simanniter 100000  ; number of simulated annealing iterations (default 2000)
;simanneps  1e-09 ; minimum epsilon, simann halt criteria (default 1e-04)
;t          1000   ; simulated annealing temperature (default 100)
;rt         0.85  ; temperature reduction factor (default 0.85)
;nt         2     ; number of loops before temperature adjusted (default 2)
;ns         5     ; number of loops before step length adjusted (default 5)
;vm         1     ; step length for simulated annealing (default 1)
;cstep      2     ; step length adjustment factor (default 2)
;lratio     0.3   ; lower limit for the ratio adjustment (default 0.3)
;uratio     0.7   ; upper limit for the ratio adjustment (default 0.7)
;check      4     ; number of fstar values to check (default 4)
;
; options for the Hooke & Jeeves optimisation
;
;[hooke]
;hookeiter  100000  ; number of hooke & jeeves iterations (default 1000)
;hookeeps   1e-09 ; minimum epsilon, hooke halt criteria (default 1e-04)
;rho        0.5   ; initial value for the resizing multiplier (default 0.5)
;lambda     0     ; initial value for the step length (default 0)
;
; options for the BFGS optimisation
;
;[bfgs]
;bfgsiter   10000 ; number of bfgs iterations (default 10000)
;bfgseps    0.01  ; minimum epsilon, bfgs halt criteria (default 0.01)
;beta       0.3   ; armijo adjustment factor (default 0.3)
;sigma      0.01  ; armijo convergence factor factor (default 0.01)
;
; 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