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[mareframe] Annotation of /trunk/gadgetMerluza2015/model/optinfo.long
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Annotation of /trunk/gadgetMerluza2015/model/optinfo.long

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

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