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

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revision 27, Mon May 8 11:58:23 2017 UTC revision 28, Wed Jul 5 12:08:06 2017 UTC
# Line 1  Line 1 
1  ;  ;
2  ; options for the Simulated Annealing optimisation  ; options for the Simulated Annealing optimisation
3  ;  ;
4  [simann]  ;[simann]
5  simanniter 100000  ; number of simulated annealing iterations (default 2000)  ;simanniter 100000  ; number of simulated annealing iterations (default 2000)
6  simanneps  1e-09 ; minimum epsilon, simann halt criteria (default 1e-04)  ;simanneps  1e-09 ; minimum epsilon, simann halt criteria (default 1e-04)
7  t          1000   ; simulated annealing temperature (default 100)  ;t          1000   ; simulated annealing temperature (default 100)
8  rt         0.85  ; temperature reduction factor (default 0.85)  ;rt         0.85  ; temperature reduction factor (default 0.85)
9  nt         2     ; number of loops before temperature adjusted (default 2)  ;nt         2     ; number of loops before temperature adjusted (default 2)
10  ns         5     ; number of loops before step length adjusted (default 5)  ;ns         5     ; number of loops before step length adjusted (default 5)
11  vm         1     ; step length for simulated annealing (default 1)  ;vm         1     ; step length for simulated annealing (default 1)
12  cstep      2     ; step length adjustment factor (default 2)  ;cstep      2     ; step length adjustment factor (default 2)
13  lratio     0.3   ; lower limit for the ratio adjustment (default 0.3)  ;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)  ;uratio     0.7   ; upper limit for the ratio adjustment (default 0.7)
15  check      4     ; number of fstar values to check (default 4)  ;check      4     ; number of fstar values to check (default 4)
16  ;  ;
17  ; options for the Hooke & Jeeves optimisation  ; options for the Hooke & Jeeves optimisation
18  ;  ;
19  [hooke]  ;[hooke]
20  hookeiter  100000  ; number of hooke & jeeves iterations (default 1000)  ;hookeiter  100000  ; number of hooke & jeeves iterations (default 1000)
21  hookeeps   1e-09 ; minimum epsilon, hooke halt criteria (default 1e-04)  ;hookeeps   1e-09 ; minimum epsilon, hooke halt criteria (default 1e-04)
22  rho        0.5   ; initial value for the resizing multiplier (default 0.5)  ;rho        0.5   ; initial value for the resizing multiplier (default 0.5)
23  lambda     0     ; initial value for the step length (default 0)  ;lambda     0     ; initial value for the step length (default 0)
24  ;  ;
25  ; options for the BFGS optimisation  ; options for the BFGS optimisation
26  ;  ;
# Line 29  Line 29 
29  ;bfgseps    0.01  ; minimum epsilon, bfgs halt criteria (default 0.01)  ;bfgseps    0.01  ; minimum epsilon, bfgs halt criteria (default 0.01)
30  ;beta       0.3   ; armijo adjustment factor (default 0.3)  ;beta       0.3   ; armijo adjustment factor (default 0.3)
31  ;sigma      0.01  ; armijo convergence factor factor (default 0.01)  ;sigma      0.01  ; armijo convergence factor factor (default 0.01)
32    ;
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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