[RBFOpt] Running example in RBFOpt
Chuong Thaidoan
chuongthaidoan at gmail.com
Thu Sep 24 20:02:50 EDT 2020
Dear Giacomo,
Thank you very much for your advice. I will study these suggestions.
Best regards,
TD Chuong
On Thu, Sep 24, 2020 at 11:40 PM Giacomo Nannicini <giacomo.n at gmail.com>
wrote:
> There's no way to do that with RBFOpt. I also don't know of any
> algorithm for black-box problems that does that type of computation.
> In principle, after running the optimization, say, via an object "alg"
> of class RbfoptAlgorithm, you can loop through alg.all_node_pos and
> alg.all_node_val to see all points explored by the algorithm.The first
> data structure contains the x coordinates, the second data structure
> contains the corresponding objective function value.
>
> G
>
> On Thu, Sep 24, 2020 at 9:20 AM Chuong Thaidoan
> <chuongthaidoan at gmail.com> wrote:
> >
> > Dear Giacomo,
> > Thank you for your reply. Solutions that I mean are best solutions.
> Since some problem may have several best solutions, and so I want to know
> how to print out all such best solutions, not just one.
> > Best regards,
> > TD Chuong
> >
> > On Thu, Sep 24, 2020 at 11:00 PM Giacomo Nannicini <giacomo.n at gmail.com>
> wrote:
> >>
> >> That x contains the best solution found. This is an unconstrained
> >> problem so any point in the domain is a solution. I don't understand
> >> what you mean by "print all the solutions".
> >>
> >> G
> >>
> >> On Thu, Sep 24, 2020 at 8:46 AM Chuong Thaidoan
> >> <chuongthaidoan at gmail.com> wrote:
> >> >
> >> > Dear Giacomo,
> >> > Thank you for your email. Yes, I mean that I would like to know all
> solutions because if I print(x), it shows only one but the problem may have
> multiple solutions. How can I print all solutions?
> >> > Best regards,
> >> > TD Chuong
> >> >
> >> > On Thu, Sep 24, 2020 at 9:58 PM Giacomo Nannicini <
> giacomo.n at gmail.com> wrote:
> >> >>
> >> >> After running
> >> >>
> >> >> val, x, itercount, evalcount, fast_evalcount = alg.optimize()
> >> >>
> >> >> the solution is in x and the corresponding objective is in val.
> >> >>
> >> >> On Thu, Sep 24, 2020 at 2:34 AM Chuong Thaidoan
> >> >> <chuongthaidoan at gmail.com> wrote:
> >> >> >
> >> >> > Dear Giacomo,
> >> >> > I have studied your paper but I could not print out the solutions.
> Could you please let me a Python syntax for print out solutions x1..x3 and
> objective value.
> >> >> > Thank you so much.
> >> >> > Best regards,
> >> >> > TD Chuong
> >> >> >
> >> >> > On Thu, Sep 24, 2020 at 12:28 PM Giacomo Nannicini <
> giacomo.n at gmail.com> wrote:
> >> >> >>
> >> >> >> This output looks correct. Please read the manual if you want to
> >> >> >> familiarize yourself with input and output.
> >> >> >>
> >> >> >> G
> >> >> >>
> >> >> >> On Wed, Sep 23, 2020 at 10:25 PM Chuong Thaidoan
> >> >> >> <chuongthaidoan at gmail.com> wrote:
> >> >> >> >
> >> >> >> > Dear Giacomo,
> >> >> >> > Thank you for your comments. I have specified more Path as
> follows and it runs, but the result looks like incorrect because Gap=100
> and there are no solutions x1 and x2. Please let me know your thoughts.
> >> >> >> > Iter Cycle Action Objective value Time
> Gap
> >> >> >> > ---- ----- ------ --------------- ----
> ---
> >> >> >> > 0 0 Initialization -0.782797 0.01
> 100.00 *
> >> >> >> > 0 0 Initialization 69.095477 0.01
> 100.00
> >> >> >> > 0 0 Initialization 20.000000 0.01
> 100.00
> >> >> >> > 0 0 GlobalStep -9.829600 0.03
> 100.00 *
> >> >> >> > 1 0 GlobalStep -9.946732 0.05
> 100.00 *
> >> >> >> > 2 0 GlobalStep -0.133622 0.06
> 100.00
> >> >> >> > 3 0 GlobalStep -8.304083 0.08
> 100.00
> >> >> >> > 4 0 GlobalStep -9.999968 0.10
> 100.00 *
> >> >> >> > 5 0 AdjLocalStep -9.470315 0.16
> 100.00
> >> >> >> > 6 1 GlobalStep -9.859619 0.18
> 100.00
> >> >> >> > 7 1 GlobalStep -0.302782 0.20
> 100.00
> >> >> >> > 8 1 GlobalStep -5.820524 0.22
> 100.00
> >> >> >> > 9 1 GlobalStep -9.979040 0.23
> 100.00
> >> >> >> > 10 1 GlobalStep -9.989542 0.25
> 100.00
> >> >> >> > 11 1 AdjLocalStep -9.997112 0.28
> 100.00
> >> >> >> > 12 2 GlobalStep -5.381130 0.31
> 100.00
> >> >> >> > 13 2 GlobalStep -5.403951 0.33
> 100.00
> >> >> >> > 14 2 GlobalStep -9.747733 0.35
> 100.00
> >> >> >> > 15 2 GlobalStep -9.976688 0.36
> 100.00
> >> >> >> > 16 2 GlobalStep -9.999575 0.38
> 100.00
> >> >> >> > 17 2 AdjLocalStep -9.996449 0.41
> 100.00
> >> >> >> > 18 2 RefinementStep -9.998610 0.41
> 100.00
> >> >> >> > 19 2 RefinementStep -9.998642 0.41
> 100.00
> >> >> >> > 20 3 Discarded 0.41
> >> >> >> > 21 3 GlobalStep -0.983375 0.46
> 100.00
> >> >> >> > 22 3 GlobalStep -4.919108 0.48
> 100.00
> >> >> >> > 23 3 GlobalStep -8.971488 0.50
> 100.00
> >> >> >> > 24 3 GlobalStep -9.999017 0.52
> 100.00
> >> >> >> > 25 3 GlobalStep -9.998435 0.53
> 100.00
> >> >> >> > 26 3 AdjLocalStep -9.999657 0.57
> 100.00
> >> >> >> > 27 4 GlobalStep -1.300168 0.62
> 100.00
> >> >> >> > 28 4 GlobalStep -6.542502 0.64
> 100.00
> >> >> >> > 29 4 GlobalStep -6.721890 0.66
> 100.00
> >> >> >> > 30 4 GlobalStep -9.999000 0.68
> 100.00
> >> >> >> > 31 4 GlobalStep -9.999754 0.70
> 100.00
> >> >> >> > 32 4 AdjLocalStep -9.997845 0.74
> 100.00
> >> >> >> > 33 5 GlobalStep 4.811411 0.80
> 100.00
> >> >> >> > 34 5 GlobalStep -3.788304 0.82
> 100.00
> >> >> >> > 35 5 GlobalStep -8.440984 0.84
> 100.00
> >> >> >> > 36 5 GlobalStep -9.999929 0.86
> 100.00
> >> >> >> > 37 5 GlobalStep -9.999214 0.88
> 100.00
> >> >> >> > 38 5 AdjLocalStep -9.993257 0.91
> 100.00
> >> >> >> > 39 6 Discarded 0.91
> >> >> >> > 40 6 GlobalStep -2.861610 0.99
> 100.00
> >> >> >> > 41 6 GlobalStep -7.320371 1.01
> 100.00
> >> >> >> > 42 6 GlobalStep -7.355018 1.03
> 100.00
> >> >> >> > 43 6 GlobalStep -9.996332 1.05
> 100.00
> >> >> >> > 44 6 GlobalStep -9.997607 1.07
> 100.00
> >> >> >> > 45 6 AdjLocalStep -9.997380 1.11
> 100.00
> >> >> >> > 46 7 GlobalStep -2.944679 1.20
> 100.00
> >> >> >> > 47 7 GlobalStep -8.033679 1.22
> 100.00
> >> >> >> > 48 7 GlobalStep -9.055971 1.24
> 100.00
> >> >> >> > 49 7 GlobalStep -9.999349 1.26
> 100.00
> >> >> >> > 50 7 GlobalStep -9.999964 1.28
> 100.00
> >> >> >> > 51 7 AdjLocalStep -9.999116 1.33
> 100.00
> >> >> >> > 52 8 GlobalStep -1.229660 1.44
> 100.00
> >> >> >> > 53 8 GlobalStep 1.597072 1.46
> 100.00
> >> >> >> > 54 8 GlobalStep -9.829986 1.48
> 100.00
> >> >> >> > 55 8 GlobalStep -9.999921 1.50
> 100.00
> >> >> >> > 56 8 GlobalStep -9.999275 1.53
> 100.00
> >> >> >> > 57 8 AdjLocalStep -9.998799 1.57
> 100.00
> >> >> >> > 58 9 Discarded 1.57
> >> >> >> > 59 9 GlobalStep 14.609887 1.70
> 100.00
> >> >> >> > 60 9 GlobalStep -3.468827 1.72
> 100.00
> >> >> >> > 61 9 GlobalStep -9.970708 1.75
> 100.00
> >> >> >> > 62 9 GlobalStep -9.994166 1.77
> 100.00
> >> >> >> > 63 9 GlobalStep -9.999956 1.79
> 100.00
> >> >> >> > 64 9 AdjLocalStep -9.997837 1.84
> 100.00
> >> >> >> > 65 10 GlobalStep -4.102803 1.98
> 100.00
> >> >> >> > 66 10 GlobalStep -6.107631 2.01
> 100.00
> >> >> >> > 67 10 GlobalStep -9.848015 2.04
> 100.00
> >> >> >> > 68 10 GlobalStep -9.994641 2.06
> 100.00
> >> >> >> > 69 10 GlobalStep -9.999667 2.08
> 100.00
> >> >> >> > 70 10 AdjLocalStep -9.996786 2.12
> 100.00
> >> >> >> > 71 11 GlobalStep -1.177266 2.29
> 100.00
> >> >> >> > 72 11 GlobalStep -6.633674 2.32
> 100.00
> >> >> >> > 73 11 GlobalStep -9.895041 2.34
> 100.00
> >> >> >> > 74 11 GlobalStep -9.990220 2.37
> 100.00
> >> >> >> > 75 11 GlobalStep -9.999315 2.39
> 100.00
> >> >> >> > 76 11 AdjLocalStep -9.997693 2.43
> 100.00
> >> >> >> > 77 12 Discarded 2.43
> >> >> >> > 78 12 GlobalStep -5.171251 2.63
> 100.00
> >> >> >> > 79 12 GlobalStep -8.131647 2.65
> 100.00
> >> >> >> > 80 12 GlobalStep -7.982044 2.67
> 100.00
> >> >> >> > 81 12 GlobalStep -9.999500 2.70
> 100.00
> >> >> >> > 82 12 GlobalStep -9.997438 2.72
> 100.00
> >> >> >> > 83 12 AdjLocalStep -9.998610 2.76
> 100.00
> >> >> >> > 84 13 GlobalStep -0.259775 2.99
> 100.00
> >> >> >> > 85 13 GlobalStep -3.246013 3.01
> 100.00
> >> >> >> > 86 13 GlobalStep -7.577369 3.04
> 100.00
> >> >> >> > 87 13 GlobalStep -9.997907 3.06
> 100.00
> >> >> >> > 88 13 GlobalStep -9.999873 3.09
> 100.00
> >> >> >> > 89 13 AdjLocalStep -9.995549 3.14
> 100.00
> >> >> >> > 90 14 GlobalStep -0.308892 3.39
> 100.00
> >> >> >> > 91 14 GlobalStep -8.365626 3.43
> 100.00
> >> >> >> > 92 14 GlobalStep -7.925407 3.46
> 100.00
> >> >> >> > 93 14 GlobalStep -9.996190 3.49
> 100.00
> >> >> >> > 94 14 GlobalStep -9.995883 3.51
> 100.00
> >> >> >> > 95 14 AdjLocalStep -9.999649 3.57
> 100.00
> >> >> >> > 96 15 Discarded 3.57
> >> >> >> > 97 15 GlobalStep 0.866069 3.86
> 100.00
> >> >> >> > 98 15 GlobalStep -5.017943 3.88
> 100.00
> >> >> >> > 99 15 GlobalStep -8.646658 3.91
> 100.00
> >> >> >> > 100 15 GlobalStep -9.998978 3.94
> 100.00
> >> >> >> > 101 15 GlobalStep -9.998460 3.97
> 100.00
> >> >> >> > 102 15 AdjLocalStep -9.997587 4.02
> 100.00
> >> >> >> > 103 16 Discarded 4.02
> >> >> >> > 104 16 GlobalStep 21.677489 4.34
> 100.00
> >> >> >> > 105 16 GlobalStep -7.807238 4.37
> 100.00
> >> >> >> > 106 16 GlobalStep -8.019824 4.40
> 100.00
> >> >> >> > 107 16 GlobalStep -9.998993 4.43
> 100.00
> >> >> >> > 108 16 GlobalStep -9.998398 4.45
> 100.00
> >> >> >> > 109 16 AdjLocalStep -9.999986 4.49
> 100.00 *
> >> >> >> > 110 16 RefinementStep -9.329509 4.49
> 100.00
> >> >> >> > 111 16 RefinementStep -9.329523 4.49
> 100.00
> >> >> >> > 112 17 Discarded 4.49
> >> >> >> > 113 17 Restart 4.49
> >> >> >> > 113 18 Initialization 8.783424 4.50
> 100.00
> >> >> >> > 113 18 Initialization 16.720115 4.50
> 100.00
> >> >> >> > 113 18 Initialization 20.000000 4.50
> 100.00
> >> >> >> > 113 18 GlobalStep 99.437119 4.51
> 100.00
> >> >> >> > 114 18 GlobalStep -9.979459 4.53
> 100.00
> >> >> >> > 115 18 GlobalStep -9.991883 4.55
> 100.00
> >> >> >> > 116 18 GlobalStep -9.967561 4.57
> 100.00
> >> >> >> > 117 18 GlobalStep -9.998844 4.58
> 100.00
> >> >> >> > 118 18 AdjLocalStep -9.999992 4.62
> 100.00 *
> >> >> >> > 119 19 GlobalStep -0.088290 4.64
> 100.00
> >> >> >> > 120 19 GlobalStep -5.029370 4.65
> 100.00
> >> >> >> > 121 19 GlobalStep -9.968159 4.67
> 100.00
> >> >> >> > 122 19 GlobalStep -9.996467 4.69
> 100.00
> >> >> >> > 123 19 GlobalStep -9.999552 4.71
> 100.00
> >> >> >> > 124 19 AdjLocalStep -9.992407 4.74
> 100.00
> >> >> >> > 125 20 GlobalStep -9.939811 4.77
> 100.00
> >> >> >> > 126 20 GlobalStep -5.045766 4.79
> 100.00
> >> >> >> > 127 20 GlobalStep -0.974566 4.81
> 100.00
> >> >> >> > 128 20 GlobalStep -9.998966 4.83
> 100.00
> >> >> >> > 129 20 GlobalStep -9.999806 4.85
> 100.00
> >> >> >> > 130 20 AdjLocalStep -9.990275 4.88
> 100.00
> >> >> >> > 131 20 RefinementStep -2.667284 4.88
> 100.00
> >> >> >> > 132 21 Discarded 4.88
> >> >> >> > 133 21 GlobalStep 0.306504 4.92
> 100.00
> >> >> >> > 134 21 GlobalStep -2.309693 4.94
> 100.00
> >> >> >> > 135 21 GlobalStep -4.116201 4.96
> 100.00
> >> >> >> > 136 21 GlobalStep -8.352455 4.98
> 100.00
> >> >> >> > 137 21 GlobalStep -9.984745 5.00
> 100.00
> >> >> >> > 138 21 AdjLocalStep -9.999261 5.03
> 100.00
> >> >> >> > 139 22 GlobalStep -6.263660 5.08
> 100.00
> >> >> >> > 140 22 GlobalStep -7.134940 5.10
> 100.00
> >> >> >> > 141 22 GlobalStep -9.707888 5.12
> 100.00
> >> >> >> > 142 22 GlobalStep -8.354821 5.14
> 100.00
> >> >> >> > 143 22 GlobalStep -9.990861 5.16
> 100.00
> >> >> >> > 144 22 AdjLocalStep -9.999445 5.20
> 100.00
> >> >> >> > 145 23 GlobalStep -1.088456 5.26
> 100.00
> >> >> >> > 146 23 GlobalStep -7.013278 5.28
> 100.00
> >> >> >> > 147 23 GlobalStep -8.368093 5.30
> 100.00
> >> >> >> > 148 23 GlobalStep -8.757719 5.32
> 100.00
> >> >> >> > 149 23 GlobalStep -9.989832 5.34
> 100.00
> >> >> >> > 150 23 AdjLocalStep -9.996497 5.38
> 100.00
> >> >> >> > 151 24 Discarded 5.38
> >> >> >> > 152 24 GlobalStep 2.107940 5.45
> 100.00
> >> >> >> > 153 24 GlobalStep -3.436103 5.47
> 100.00
> >> >> >> > 154 24 GlobalStep -6.037814 5.49
> 100.00
> >> >> >> > 155 24 GlobalStep -9.056932 5.52
> 100.00
> >> >> >> > 156 24 GlobalStep -9.997458 5.54
> 100.00
> >> >> >> > 157 24 AdjLocalStep -9.996017 5.58
> 100.00
> >> >> >> > 158 25 GlobalStep -0.142017 5.66
> 100.00
> >> >> >> > 159 25 GlobalStep -3.536719 5.68
> 100.00
> >> >> >> > 160 25 GlobalStep -7.619205 5.70
> 100.00
> >> >> >> > 161 25 GlobalStep -9.152211 5.73
> 100.00
> >> >> >> > 162 25 GlobalStep -9.997099 5.75
> 100.00
> >> >> >> > 163 25 AdjLocalStep -9.998803 5.79
> 100.00
> >> >> >> > 164 26 GlobalStep -6.928876 5.89
> 100.00
> >> >> >> > 165 26 GlobalStep -6.330172 5.91
> 100.00
> >> >> >> > 166 26 GlobalStep -9.790826 5.94
> 100.00
> >> >> >> > 167 26 GlobalStep -9.125377 5.96
> 100.00
> >> >> >> > 168 26 GlobalStep -9.997595 5.98
> 100.00
> >> >> >> > 169 26 AdjLocalStep -9.998836 6.02
> 100.00
> >> >> >> > 170 27 Discarded 6.02
> >> >> >> > 171 27 GlobalStep -3.465366 6.14
> 100.00
> >> >> >> > 172 27 GlobalStep -4.890849 6.17
> 100.00
> >> >> >> > 173 27 GlobalStep -9.227066 6.19
> 100.00
> >> >> >> > 174 27 GlobalStep -9.350088 6.21
> 100.00
> >> >> >> > 175 27 GlobalStep -9.997056 6.24
> 100.00
> >> >> >> > 176 27 AdjLocalStep -9.998672 6.28
> 100.00
> >> >> >> > 177 28 GlobalStep -0.107919 6.43
> 100.00
> >> >> >> > 178 28 GlobalStep -9.614442 6.45
> 100.00
> >> >> >> > 179 28 GlobalStep -7.720567 6.48
> 100.00
> >> >> >> > 180 28 GlobalStep -9.361315 6.50
> 100.00
> >> >> >> > 181 28 GlobalStep -9.996503 6.52
> 100.00
> >> >> >> > 182 28 AdjLocalStep -9.999594 6.57
> 100.00
> >> >> >> > 183 29 GlobalStep -3.796607 6.74
> 100.00
> >> >> >> > 184 29 GlobalStep -2.367116 6.76
> 100.00
> >> >> >> > 185 29 GlobalStep -5.150750 6.79
> 100.00
> >> >> >> > 186 29 GlobalStep -9.415172 6.81
> 100.00
> >> >> >> > 187 29 GlobalStep -9.996580 6.83
> 100.00
> >> >> >> > 188 29 AdjLocalStep -9.997717 6.87
> 100.00
> >> >> >> > 189 30 Discarded 6.87
> >> >> >> > 190 30 GlobalStep 2.992339 7.07
> 100.00
> >> >> >> > 191 30 GlobalStep -7.956459 7.09
> 100.00
> >> >> >> > 192 30 GlobalStep -7.662510 7.12
> 100.00
> >> >> >> > 193 30 GlobalStep -9.436481 7.14
> 100.00
> >> >> >> > 194 30 GlobalStep -9.993961 7.17
> 100.00
> >> >> >> > 195 30 AdjLocalStep -9.996651 7.21
> 100.00
> >> >> >> > 196 31 GlobalStep 27.107300 7.43
> 100.00
> >> >> >> > 197 31 GlobalStep -2.740703 7.46
> 100.00
> >> >> >> > 198 31 GlobalStep -6.743054 7.48
> 100.00
> >> >> >> > 199 31 GlobalStep -9.545115 7.50
> 100.00
> >> >> >> > 200 31 GlobalStep -9.991679 7.53
> 100.00
> >> >> >> > 201 31 AdjLocalStep -9.999586 7.58
> 100.00
> >> >> >> > Exception ignored in: <_io.FileIO name=3 mode='rb+'
> closefd=True>
> >> >> >> > ResourceWarning: unclosed file <_io.FileIO name=3 mode='rb+'
> closefd=True>
> >> >> >> > 202 32 GlobalStep 28.311026 7.82
> 100.00
> >> >> >> > 203 32 GlobalStep -6.823784 7.85
> 100.00
> >> >> >> > 204 32 GlobalStep -8.490190 7.88
> 100.00
> >> >> >> > 205 32 GlobalStep -9.568747 7.90
> 100.00
> >> >> >> > 206 32 GlobalStep -9.994977 7.94
> 100.00
> >> >> >> > 207 32 AdjLocalStep -9.997207 7.99
> 100.00
> >> >> >> > 208 33 Discarded 7.99
> >> >> >> > 209 33 GlobalStep 7.712229 8.26
> 100.00
> >> >> >> > 210 33 GlobalStep -2.040756 8.29
> 100.00
> >> >> >> > 211 33 GlobalStep -8.910636 8.31
> 100.00
> >> >> >> > 212 33 GlobalStep -9.574243 8.34
> 100.00
> >> >> >> > 213 33 GlobalStep -9.998942 8.36
> 100.00
> >> >> >> > 214 33 AdjLocalStep -9.995341 8.41
> 100.00
> >> >> >> > 215 34 Discarded 8.41
> >> >> >> > 216 34 GlobalStep 9.054157 8.71
> 100.00
> >> >> >> > 217 34 GlobalStep -3.606081 8.74
> 100.00
> >> >> >> > 218 34 GlobalStep -8.535352 8.76
> 100.00
> >> >> >> > 219 34 GlobalStep -9.626389 8.79
> 100.00
> >> >> >> > 220 34 GlobalStep -9.994735 8.81
> 100.00
> >> >> >> > 221 34 AdjLocalStep -9.999854 8.87
> 100.00
> >> >> >> > 222 35 Discarded 8.87
> >> >> >> > 223 35 Restart 8.87
> >> >> >> > 223 36 Initialization -8.412199 8.88
> 100.00
> >> >> >> > 223 36 Initialization 14.167440 8.88
> 100.00
> >> >> >> > 223 36 Initialization 20.000000 8.88
> 100.00
> >> >> >> > 223 36 GlobalStep -9.998146 8.89
> 100.00
> >> >> >> > 224 36 GlobalStep -9.995897 8.91
> 100.00
> >> >> >> > 225 36 GlobalStep -9.924097 8.93
> 100.00
> >> >> >> > 226 36 GlobalStep -9.974545 8.94
> 100.00
> >> >> >> > 227 36 GlobalStep -8.360688 8.96
> 100.00
> >> >> >> > 228 36 AdjLocalStep -9.998387 8.99
> 100.00
> >> >> >> > 229 37 GlobalStep -0.059815 9.02
> 100.00
> >> >> >> > 230 37 GlobalStep -0.045566 9.03
> 100.00
> >> >> >> > 231 37 GlobalStep -9.921982 9.05
> 100.00
> >> >> >> > 232 37 GlobalStep -9.988803 9.07
> 100.00
> >> >> >> > 233 37 GlobalStep -9.996431 9.09
> 100.00
> >> >> >> > 234 37 AdjLocalStep -9.999170 9.12
> 100.00
> >> >> >> > 235 38 GlobalStep -4.327294 9.15
> 100.00
> >> >> >> > 236 38 GlobalStep -4.581352 9.17
> 100.00
> >> >> >> > 237 38 GlobalStep -6.757061 9.18
> 100.00
> >> >> >> > 238 38 GlobalStep -9.991722 9.20
> 100.00
> >> >> >> > 239 38 GlobalStep -9.994365 9.22
> 100.00
> >> >> >> > 240 38 AdjLocalStep -9.999325 9.25
> 100.00
> >> >> >> > 241 38 RefinementStep -7.303472 9.25
> 100.00
> >> >> >> > 242 38 RefinementStep -7.304148 9.26
> 100.00
> >> >> >> > 243 39 Discarded 9.26
> >> >> >> > 244 39 GlobalStep -9.432590 9.29
> 100.00
> >> >> >> > 245 39 GlobalStep -6.698595 9.31
> 100.00
> >> >> >> > 246 39 GlobalStep -1.372501 9.33
> 100.00
> >> >> >> > 247 39 GlobalStep -9.981998 9.35
> 100.00
> >> >> >> > 248 39 GlobalStep -9.992001 9.37
> 100.00
> >> >> >> > 249 39 AdjLocalStep -9.991496 9.41
> 100.00
> >> >> >> > 250 40 GlobalStep -4.736954 9.46
> 100.00
> >> >> >> > 251 40 GlobalStep -9.905023 9.47
> 100.00
> >> >> >> > 252 40 GlobalStep -9.612855 9.49
> 100.00
> >> >> >> > 253 40 GlobalStep -9.998329 9.52
> 100.00
> >> >> >> > 254 40 GlobalStep -9.995420 9.53
> 100.00
> >> >> >> > 255 40 AdjLocalStep -9.998503 9.57
> 100.00
> >> >> >> > 256 41 GlobalStep -0.211957 9.63
> 100.00
> >> >> >> > 257 41 GlobalStep -4.094734 9.65
> 100.00
> >> >> >> > 258 41 GlobalStep -3.472883 9.68
> 100.00
> >> >> >> > 259 41 GlobalStep -9.996027 9.70
> 100.00
> >> >> >> > 260 41 GlobalStep -9.998652 9.72
> 100.00
> >> >> >> > 261 41 AdjLocalStep -9.999681 9.75
> 100.00
> >> >> >> > 262 41 RefinementStep -6.308952 9.75
> 100.00
> >> >> >> > 263 41 RefinementStep -6.309271 9.76
> 100.00
> >> >> >> > 264 42 Discarded 9.76
> >> >> >> > 265 42 GlobalStep -4.248808 9.84
> 100.00
> >> >> >> > 266 42 GlobalStep -2.394217 9.86
> 100.00
> >> >> >> > 267 42 GlobalStep -6.982851 9.88
> 100.00
> >> >> >> > 268 42 GlobalStep -9.996277 9.90
> 100.00
> >> >> >> > 269 42 GlobalStep -9.993987 9.92
> 100.00
> >> >> >> > 270 42 AdjLocalStep -9.998898 9.96
> 100.00
> >> >> >> > 271 43 GlobalStep -5.570539 10.05
> 100.00
> >> >> >> > 272 43 GlobalStep -7.641360 10.08
> 100.00
> >> >> >> > 273 43 GlobalStep -9.959525 10.10
> 100.00
> >> >> >> > 274 43 GlobalStep -9.991615 10.12
> 100.00
> >> >> >> > 275 43 GlobalStep -9.998084 10.14
> 100.00
> >> >> >> > 276 43 AdjLocalStep -9.997681 10.18
> 100.00
> >> >> >> > 277 44 GlobalStep -5.803065 10.29
> 100.00
> >> >> >> > 278 44 GlobalStep -7.090334 10.32
> 100.00
> >> >> >> > 279 44 GlobalStep -7.667018 10.34
> 100.00
> >> >> >> > 280 44 GlobalStep -9.991742 10.36
> 100.00
> >> >> >> > 281 44 GlobalStep -9.999368 10.38
> 100.00
> >> >> >> > 282 44 AdjLocalStep -9.996251 10.43
> 100.00
> >> >> >> > 283 45 Discarded 10.43
> >> >> >> > 284 45 GlobalStep 3.850628 10.56
> 100.00
> >> >> >> > 285 45 GlobalStep -2.721334 10.58
> 100.00
> >> >> >> > 286 45 GlobalStep -8.301068 10.61
> 100.00
> >> >> >> > 287 45 GlobalStep -8.591339 10.63
> 100.00
> >> >> >> > 288 45 GlobalStep -9.996616 10.65
> 100.00
> >> >> >> > 289 45 AdjLocalStep -9.999346 10.70
> 100.00
> >> >> >> > 290 46 Discarded 10.70
> >> >> >> > 291 46 GlobalStep 10.209351 10.86
> 100.00
> >> >> >> > 292 46 GlobalStep -7.894794 10.89
> 100.00
> >> >> >> > 293 46 GlobalStep -8.234840 10.91
> 100.00
> >> >> >> > 294 46 GlobalStep -8.838450 10.94
> 100.00
> >> >> >> > 295 46 GlobalStep -9.999002 10.96
> 100.00
> >> >> >> > 296 46 AdjLocalStep -9.998982 11.01
> 100.00
> >> >> >> > 297 47 Discarded 11.01
> >> >> >> > 298 47 GlobalStep -1.463510 11.19
> 100.00
> >> >> >> > 299 47 GlobalStep -4.827453 11.21
> 100.00
> >> >> >> > 300 47 GlobalStep -6.813960 11.23
> 100.00
> >> >> >> > 301 47 GlobalStep -9.092894 11.26
> 100.00
> >> >> >> > 302 47 GlobalStep -9.995715 11.28
> 100.00
> >> >> >> > 303 47 AdjLocalStep -9.997012 11.33
> 100.00
> >> >> >> > 304 48 Discarded 11.33
> >> >> >> > 305 48 GlobalStep -1.832841 11.53
> 100.00
> >> >> >> > 306 48 GlobalStep -3.611980 11.55
> 100.00
> >> >> >> > 307 48 GlobalStep -9.815830 11.58
> 100.00
> >> >> >> > 308 48 GlobalStep -9.129074 11.61
> 100.00
> >> >> >> > 309 48 GlobalStep -9.994837 11.63
> 100.00
> >> >> >> > 310 48 AdjLocalStep -9.999636 11.68
> 100.00
> >> >> >> > 311 49 Discarded 11.68
> >> >> >> > 312 49 GlobalStep -8.396622 11.92
> 100.00
> >> >> >> > 313 49 GlobalStep -8.182026 11.94
> 100.00
> >> >> >> > Summary: iters 314 evals 300 noisy_evals 0 cycles 49
> opt_time 11.94 tot_time 11.94 obj -9.999992 gap 100.00
> >> >> >> >
> >> >> >> > Process finished with exit code 0
> >> >> >> >
> >> >> >> > The code:
> >> >> >> >
> >> >> >> > import rbfopt
> >> >> >> > #settings =
> rbfopt.RbfoptSettings(minlp_solver_path='Cygwin64/home/chuong/bonmin-stable/build/bonmin',\
> >> >> >> > #
> nlp_solver_path='Cygwin64/home/chuong/bonmin-stable/build/ipopt')
> >> >> >> >
> >> >> >> > import numpy as np
> >> >> >> > def obj_funct(x):
> >> >> >> > return x[0]*x[1] - x[2]
> >> >> >> >
> >> >> >> > bb = rbfopt.RbfoptUserBlackBox(3, np.array([0] * 3),
> np.array([10] * 3),
> >> >> >> > np.array(['R', 'I', 'R']),
> obj_funct)
> >> >> >> > #settings =
> rbfopt.RbfoptSettings(minlp_solver_path='/home/chuong/bonmin-stable/build/bonmin',\
> >> >> >> > #
> nlp_solver_path='/home/chuong/bonmin-stable/build/ipopt')
> >> >> >> > settings =
> rbfopt.RbfoptSettings(minlp_solver_path="C:/cygwin64/home/chuong/Bonmin-stable/build/Bonmin/bonmin.pc",\
> >> >> >> >
> nlp_solver_path="C:/cygwin64/home/chuong/Bonmin-stable/build/Ipopt/ipopt.pc")
> >> >> >> > #settings = rbfopt.RbfoptSettings(max_evaluations=50)
> >> >> >> > alg = rbfopt.RbfoptAlgorithm(settings, bb)
> >> >> >> > val, x, itercount, evalcount, fast_evalcount = alg.optimize()
> >> >> >> >
> >> >> >> >
> >> >> >> > On Thu, Sep 24, 2020 at 11:24 AM Giacomo Nannicini <
> giacomo.n at gmail.com> wrote:
> >> >> >> >>
> >> >> >> >> Make sure the file is in the proper location and the path is
> specified
> >> >> >> >> in a way that Python understands it. Doesn't look correct at
> first
> >> >> >> >> glance (slash missing).
> >> >> >> >>
> >> >> >> >> G
> >> >> >> >>
> >> >> >> >> On Wed, Sep 23, 2020 at 9:17 PM Chuong Thaidoan
> >> >> >> >> <chuongthaidoan at gmail.com> wrote:
> >> >> >> >> >
> >> >> >> >> > Dear Giacomo,
> >> >> >> >> > Thank you for your reply.
> >> >> >> >> > I have re-ordered the settings of Path as follows, but the
> issue is still the same: Do you think Bonmin was not properly installed?
> >> >> >> >> > Iter Cycle Action Objective value Time
> Gap
> >> >> >> >> > ---- ----- ------ --------------- ----
> ---
> >> >> >> >> > 0 0 Initialization -0.782797 0.01
> 100.00 *
> >> >> >> >> > 0 0 Initialization 69.095477 0.01
> 100.00
> >> >> >> >> > 0 0 Initialization 20.000000 0.01
> 100.00
> >> >> >> >> > 0 0 GlobalStep -9.829600 0.03
> 100.00 *
> >> >> >> >> > 1 0 GlobalStep -9.946732 0.05
> 100.00 *
> >> >> >> >> > 2 0 GlobalStep -0.133622 0.07
> 100.00
> >> >> >> >> > 3 0 GlobalStep -8.304083 0.09
> 100.00
> >> >> >> >> > 4 0 GlobalStep -9.999968 0.11
> 100.00 *
> >> >> >> >> > Traceback (most recent call last):
> >> >> >> >> > File
> "C:/Users/chuong/PycharmProjects/LearningPython/RBFOpt_test.py", line 15,
> in <module>
> >> >> >> >> > val, x, itercount, evalcount, fast_evalcount =
> alg.optimize()
> >> >> >> >> > File
> "C:\ProgramData\Anaconda3\lib\site-packages\rbfopt\rbfopt_algorithm.py",
> line 795, in optimize
> >> >> >> >> > self.optimize_serial(pause_after_iters)
> >> >> >> >> > File
> "C:\ProgramData\Anaconda3\lib\site-packages\rbfopt\rbfopt_algorithm.py",
> line 1056, in optimize_serial
> >> >> >> >> > self.node_is_noisy)
> >> >> >> >> > File
> "C:\ProgramData\Anaconda3\lib\site-packages\rbfopt\rbfopt_algorithm.py",
> line 2438, in local_step
> >> >> >> >> > categorical_info, node_pos, rbf_lambda, rbf_h,
> node_pos[fmin_index])
> >> >> >> >> > File
> "C:\ProgramData\Anaconda3\lib\site-packages\rbfopt\rbfopt_aux_problems.py",
> line 297, in minimize_rbf
> >> >> >> >> > if (not opt.available()):
> >> >> >> >> > File
> "C:\ProgramData\Anaconda3\lib\site-packages\pyomo\opt\base\solvers.py",
> line 99, in available
> >> >> >> >> > raise pyutilib.common.ApplicationError("Solver (%s) not
> available" % str(self.name))
> >> >> >> >> > pyutilib.common._exceptions.ApplicationError: Solver
> (bonmin) not available
> >> >> >> >> >
> >> >> >> >> > Process finished with exit code 1
> >> >> >> >> >
> >> >> >> >> > import numpy as np
> >> >> >> >> > def obj_funct(x):
> >> >> >> >> > return x[0]*x[1] - x[2]
> >> >> >> >> >
> >> >> >> >> > bb = rbfopt.RbfoptUserBlackBox(3, np.array([0] * 3),
> np.array([10] * 3),
> >> >> >> >> > np.array(['R', 'I', 'R']),
> obj_funct)
> >> >> >> >> > settings =
> rbfopt.RbfoptSettings(minlp_solver_path='c:Cygwin64/home/chuong/bonmin-stable/build/bonmin',\
> >> >> >> >> >
> nlp_solver_path='c:Cygwin64/home/chuong/bonmin-stable/build/ipopt')
> >> >> >> >> > #settings = rbfopt.RbfoptSettings(max_evaluations=50)
> >> >> >> >> > alg = rbfopt.RbfoptAlgorithm(settings, bb)
> >> >> >> >> > val, x, itercount, evalcount, fast_evalcount = alg.optimize()
> >> >> >> >> >
> >> >> >> >> >
> >> >> >> >> > On Thu, Sep 24, 2020 at 10:59 AM Giacomo Nannicini <
> giacomo.n at gmail.com> wrote:
> >> >> >> >> >>
> >> >> >> >> >> Yes but in the code snippet you sent in the previous email,
> you are
> >> >> >> >> >> then passing a different RbfoptSettings object to
> RbfoptAlgorithm --
> >> >> >> >> >> not the one for which you set the path.
> >> >> >> >> >>
> >> >> >> >> >> On Wed, Sep 23, 2020 at 8:50 PM Chuong Thaidoan
> >> >> >> >> >> <chuongthaidoan at gmail.com> wrote:
> >> >> >> >> >> >
> >> >> >> >> >> > Dear Giacomo,
> >> >> >> >> >> > Thank you for your prompt reply. I already set the Path
> in the second line of the Python code, which is as follows:
> >> >> >> >> >> >
> >> >> >> >> >> > settings =
> rbfopt.RbfoptSettings(minlp_solver_path='/home/chuong/bonmin-stable/build/bonmin',\
> >> >> >> >> >> >
> nlp_solver_path='/home/chuong/bonmin-stable/build/ipopt')
> >> >> >> >> >> >
> >> >> >> >> >> > or
> >> >> >> >> >> >
> >> >> >> >> >> > import rbfopt
> >> >> >> >> >> > settings =
> rbfopt.RbfoptSettings(minlp_solver_path='Cygwin64/home/chuong/bonmin-stable/build/bonmin',\
> >> >> >> >> >> >
> nlp_solver_path='Cygwin64/home/chuong/bonmin-stable/build/ipopt')
> >> >> >> >> >> >
> >> >> >> >> >> >
> >> >> >> >> >> > On Thu, Sep 24, 2020 at 10:43 AM Giacomo Nannicini <
> giacomo.n at gmail.com> wrote:
> >> >> >> >> >> >>
> >> >> >> >> >> >> I do not understand the order of the code in the Python
> snippet.
> >> >> >> >> >> >> If bonmin and ipopt are not in your part, you must set
> the
> >> >> >> >> >> >> corresponding options in the RbfoptSettings object that
> is passed to
> >> >> >> >> >> >> RbfoptAlgorithm.
> >> >> >> >> >> >>
> >> >> >> >> >> >> Giacomo
> >> >> >> >> >> >>
> >> >> >> >> >> >> On Wed, Sep 23, 2020 at 8:38 PM Chuong Thaidoan
> >> >> >> >> >> >> <chuongthaidoan at gmail.com> wrote:
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > Dear Giacomo,
> >> >> >> >> >> >> > Thank you for your advice. I have just to re-install
> Bonmin and run the code. It shows errors as follows. Could you please take
> a look and let me know some further comments?
> >> >> >> >> >> >> > Iter Cycle Action Objective value
> Time Gap
> >> >> >> >> >> >> > ---- ----- ------ ---------------
> ---- ---
> >> >> >> >> >> >> > 0 0 Initialization -0.782797
> 0.01 100.00 *
> >> >> >> >> >> >> > 0 0 Initialization 69.095477
> 0.01 100.00
> >> >> >> >> >> >> > 0 0 Initialization 20.000000
> 0.01 100.00
> >> >> >> >> >> >> > 0 0 GlobalStep -9.829600
> 0.03 100.00 *
> >> >> >> >> >> >> > 1 0 GlobalStep -9.946732
> 0.06 100.00 *
> >> >> >> >> >> >> > 2 0 GlobalStep -0.133622
> 0.08 100.00
> >> >> >> >> >> >> > 3 0 GlobalStep -8.304083
> 0.10 100.00
> >> >> >> >> >> >> > 4 0 GlobalStep -9.999968
> 0.12 100.00 *
> >> >> >> >> >> >> > Traceback (most recent call last):
> >> >> >> >> >> >> > File
> "C:/Users/chuong/PycharmProjects/LearningPython/Ipopt/RBFOpt_test_ipopt.py",
> line 14, in <module>
> >> >> >> >> >> >> > val, x, itercount, evalcount, fast_evalcount =
> alg.optimize()
> >> >> >> >> >> >> > File
> "C:\ProgramData\Anaconda3\lib\site-packages\rbfopt\rbfopt_algorithm.py",
> line 795, in optimize
> >> >> >> >> >> >> > self.optimize_serial(pause_after_iters)
> >> >> >> >> >> >> > File
> "C:\ProgramData\Anaconda3\lib\site-packages\rbfopt\rbfopt_algorithm.py",
> line 1056, in optimize_serial
> >> >> >> >> >> >> > self.node_is_noisy)
> >> >> >> >> >> >> > File
> "C:\ProgramData\Anaconda3\lib\site-packages\rbfopt\rbfopt_algorithm.py",
> line 2438, in local_step
> >> >> >> >> >> >> > categorical_info, node_pos, rbf_lambda, rbf_h,
> node_pos[fmin_index])
> >> >> >> >> >> >> > File
> "C:\ProgramData\Anaconda3\lib\site-packages\rbfopt\rbfopt_aux_problems.py",
> line 297, in minimize_rbf
> >> >> >> >> >> >> > if (not opt.available()):
> >> >> >> >> >> >> > File
> "C:\ProgramData\Anaconda3\lib\site-packages\pyomo\opt\base\solvers.py",
> line 99, in available
> >> >> >> >> >> >> > raise pyutilib.common.ApplicationError("Solver
> (%s) not available" % str(self.name))
> >> >> >> >> >> >> > pyutilib.common._exceptions.ApplicationError: Solver
> (bonmin) not available
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > Your code:
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > import rbfopt
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > settings =
> rbfopt.RbfoptSettings(minlp_solver_path='/home/chuong/bonmin-stable/build/bonmin',\
> >> >> >> >> >> >> >
> nlp_solver_path='/home/chuong/bonmin-stable/build/ipopt')
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > import numpy as np
> >> >> >> >> >> >> > def obj_funct(x):
> >> >> >> >> >> >> > return x[0]*x[1] - x[2]
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > bb = rbfopt.RbfoptUserBlackBox(3, np.array([0] * 3),
> np.array([10] * 3),
> >> >> >> >> >> >> > np.array(['R', 'I',
> 'R']), obj_funct)
> >> >> >> >> >> >> > settings = rbfopt.RbfoptSettings(max_evaluations=50)
> >> >> >> >> >> >> > alg = rbfopt.RbfoptAlgorithm(settings, bb)
> >> >> >> >> >> >> > val, x, itercount, evalcount, fast_evalcount =
> alg.optimize()
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > On Wed, Sep 23, 2020 at 11:43 PM Giacomo Nannicini <
> giacomo.n at gmail.com> wrote:
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> You need both executables. You can download them from
> AMPL's website. If you compile from scratch, then Bonmin will also compile
> Ipopt.
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> If the executables are not in the system path, you
> can specify their location via options.
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> G
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> On Wed, Sep 23, 2020, 9:36 AM Chuong Thaidoan <
> chuongthaidoan at gmail.com> wrote:
> >> >> >> >> >> >> >>>
> >> >> >> >> >> >> >>> Dear Giacomo,
> >> >> >> >> >> >> >>> Thank you for your email. I am re-installing Bonmin
> because it still shows errors although I already specified the Path. Can I
> ask it is true that Bonmin contains Ipopt and so we only need to install
> Bonmin with Cygwin 64?
> >> >> >> >> >> >> >>> Best regards,
> >> >> >> >> >> >> >>> TD Chuong
> >> >> >> >> >> >> >>>
> >> >> >> >> >> >> >>> On Wed, Sep 23, 2020 at 10:46 PM Giacomo Nannicini <
> giacomo.n at gmail.com> wrote:
> >> >> >> >> >> >> >>>>
> >> >> >> >> >> >> >>>> Chuong,
> >> >> >> >> >> >> >>>> please read the instruction manual, section 1.2.
> You need Bonmin and
> >> >> >> >> >> >> >>>> Ipopt to be in your system path, or otherwise you
> need to specify
> >> >> >> >> >> >> >>>> their location as options.
> >> >> >> >> >> >> >>>>
> >> >> >> >> >> >> >>>> Best,
> >> >> >> >> >> >> >>>>
> >> >> >> >> >> >> >>>> Giacomo
> >> >> >> >> >> >> >>>>
> >> >> >> >> >> >> >>>>
> >> >> >> >> >> >> >>>>
> >> >> >> >> >> >> >>>>
> >> >> >> >> >> >> >>>> Dear the authors,
> >> >> >> >> >> >> >>>> I am studying your interesting black-box function
> packages (RBFOpt),
> >> >> >> >> >> >> >>>> and I just install it with Bonmin-1.8.8 solver via
> Cygwin64. I put
> >> >> >> >> >> >> >>>> your "minimal working example" in Bonmin-1.8.8
> folder and run it with
> >> >> >> >> >> >> >>>> Pycharm. However, it shows errors
> >> >> >> >> >> >> >>>> "pyutilib.common._exceptions.ApplicationError:
> Solver (bonmin) not
> >> >> >> >> >> >> >>>> available".
> >> >> >> >> >> >> >>>>
> >> >> >> >> >> >> >>>> Could you please let me know some your advice?
> Thank you.
> >> >> >> >> >> >> >>>> Best regards,
> >> >> >> >> >> >> >>>> Chuong Thai Doan
> >> >> >> >> >> >> >>>> Research Fellow at School of Information Technology
> >> >> >> >> >> >> >>>> Deakin University, Melbourne, Australia
>
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