Revision 28 -
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Wed Jul 5 12:08:06 2017 UTC
(7 years, 2 months ago)
by ulcessvp File size: 2335 byte(s)
Version secuencial y primera version omp para pso
;
; 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