1 : |
ulcessvp |
10 |
;
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2 : |
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; options for the Simulated Annealing optimisation
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3 : |
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;
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4 : |
ulcessvp |
28 |
;[simann]
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5 : |
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;simanniter 100000 ; number of simulated annealing iterations (default 2000)
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6 : |
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;simanneps 1e-09 ; minimum epsilon, simann halt criteria (default 1e-04)
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7 : |
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;t 1000 ; simulated annealing temperature (default 100)
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8 : |
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;rt 0.85 ; temperature reduction factor (default 0.85)
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9 : |
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;nt 2 ; number of loops before temperature adjusted (default 2)
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10 : |
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;ns 5 ; number of loops before step length adjusted (default 5)
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11 : |
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;vm 1 ; step length for simulated annealing (default 1)
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12 : |
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;cstep 2 ; step length adjustment factor (default 2)
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13 : |
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;lratio 0.3 ; lower limit for the ratio adjustment (default 0.3)
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14 : |
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;uratio 0.7 ; upper limit for the ratio adjustment (default 0.7)
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15 : |
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;check 4 ; number of fstar values to check (default 4)
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16 : |
ulcessvp |
10 |
;
|
17 : |
|
|
; options for the Hooke & Jeeves optimisation
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18 : |
|
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;
|
19 : |
ulcessvp |
28 |
;[hooke]
|
20 : |
|
|
;hookeiter 100000 ; number of hooke & jeeves iterations (default 1000)
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21 : |
|
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;hookeeps 1e-09 ; minimum epsilon, hooke halt criteria (default 1e-04)
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22 : |
|
|
;rho 0.5 ; initial value for the resizing multiplier (default 0.5)
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23 : |
|
|
;lambda 0 ; initial value for the step length (default 0)
|
24 : |
ulcessvp |
10 |
;
|
25 : |
|
|
; options for the BFGS optimisation
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26 : |
|
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;
|
27 : |
|
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;[bfgs]
|
28 : |
|
|
;bfgsiter 10000 ; number of bfgs iterations (default 10000)
|
29 : |
|
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;bfgseps 0.01 ; minimum epsilon, bfgs halt criteria (default 0.01)
|
30 : |
|
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;beta 0.3 ; armijo adjustment factor (default 0.3)
|
31 : |
|
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;sigma 0.01 ; armijo convergence factor factor (default 0.01)
|
32 : |
ulcessvp |
28 |
;
|
33 : |
|
|
; options for the PSO optimisation
|
34 : |
|
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;
|
35 : |
|
|
[pso]
|
36 : |
|
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goal 1e-6 ; optimization goal (error threshold)
|
37 : |
|
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size 400 ; swarm size (number of particles). Must be higher that the number of parameters
|
38 : |
|
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psoiter 100 ; maximum number of iterations
|
39 : |
|
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c1 0.4 ; cognitive coefficient
|
40 : |
|
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c2 0.6 ; social coefficient
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41 : |
|
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w_max 1 ; Maximum inertia weight value
|
42 : |
|
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w_min 0.1 ; min inertia weight value
|
43 : |
|
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clamp_pos 1 ; whether to keep particle position within defined bounds (TRUE) or apply periodic boundary conditions (FALSE)
|
44 : |
|
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nhood_strategy 0 ; neighborhood strategy (global best topology=0, ring topology = 1, Random neighborhood topology=2)
|
45 : |
|
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nhood_size 1 ; neighborhood size
|
46 : |
|
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w_strategy 0 ; inertia weight strategy (constant=0, line=1)
|
47 : |
|
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;;seed 1000 ; seed for the generator only for PSO optimisation
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