Merge of bonobo.optimize et al broke behavior again
pokutta opened this issue · 1 comments
pokutta commented
since the last merge from bonobo.optimize et al we have essentially the same wrong behavior as with FW 0.25. Seems to be the same callback issue as before.
BranchWolfe Algorithm
Parameter settings.
Tree traversal strategy: Bonobo.BFS()
Branching strategy: Bonobo.MOST_INFEASIBLE()
Absolute dual gap tolerance: 1.0e-7
Frank-Wolfe subproblem tolerance: 1.0e-5
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Iteration Open Bound Incumbent Gap (abs) Gap (%) Time (s) Nodes/Sec FW (ms) LMO (ms) LMO (calls) FW (iters) Active Set Discarded
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
1 2 -2.747802e-15 1.125000e+00 1.125000e+00 Inf 2.327000e+00 1.289214e+00 848 2 4 2 1 0
20 21 3.750000e-01 1.125000e+00 7.500000e-01 2.000000e+02 3.281000e+00 1.249619e+01 1 1 80 2 1 0
40 41 5.000000e-01 1.125000e+00 6.250000e-01 1.250000e+02 3.318000e+00 2.441230e+01 1 1 160 2 1 0
60 61 5.000000e-01 1.125000e+00 6.250000e-01 1.250000e+02 3.355000e+00 3.606557e+01 2 1 240 2 1 0
80 81 6.250000e-01 1.125000e+00 5.000000e-01 8.000000e+01 3.392000e+00 4.746462e+01 1 1 320 2 1 0
100 101 6.250000e-01 1.125000e+00 5.000000e-01 8.000000e+01 3.429000e+00 5.861767e+01 1 1 400 2 1 0
120 121 6.250000e-01 1.125000e+00 5.000000e-01 8.000000e+01 3.466000e+00 6.953260e+01 1 1 480 2 1 0
140 141 7.500000e-01 1.125000e+00 3.750000e-01 5.000000e+01 3.504000e+00 8.019406e+01 2 1 560 2 1 0
160 161 7.500000e-01 1.125000e+00 3.750000e-01 5.000000e+01 3.542000e+00 9.062676e+01 2 1 640 2 1 0
180 181 7.500000e-01 1.125000e+00 3.750000e-01 5.000000e+01 3.580000e+00 1.008380e+02 1 1 720 2 1 0
200 201 7.500000e-01 1.125000e+00 3.750000e-01 5.000000e+01 3.618000e+00 1.108347e+02 2 1 800 2 1 0
220 221 7.500000e-01 1.125000e+00 3.750000e-01 5.000000e+01 3.655000e+00 1.206566e+02 1 1 880 2 1 0
240 241 7.500000e-01 1.125000e+00 3.750000e-01 5.000000e+01 3.693000e+00 1.302464e+02 1 1 960 2 1 0
260 261 8.750000e-01 1.125000e+00 2.500000e-01 2.857143e+01 3.731000e+00 1.396408e+02 2 1 1040 2 1 0
280 281 8.750000e-01 1.125000e+00 2.500000e-01 2.857143e+01 3.770000e+00 1.488064e+02 2 1 1120 2 1 0
300 301 8.750000e-01 1.125000e+00 2.500000e-01 2.857143e+01 3.809000e+00 1.577842e+02 2 1 1200 2 1 0
320 321 8.750000e-01 1.125000e+00 2.500000e-01 2.857143e+01 3.847000e+00 1.666233e+02 1 1 1280 2 1 0
340 341 8.750000e-01 1.125000e+00 2.500000e-01 2.857143e+01 3.886000e+00 1.752445e+02 2 1 1360 2 1 0
360 361 8.750000e-01 1.125000e+00 2.500000e-01 2.857143e+01 3.925000e+00 1.836943e+02 2 1 1440 2 1 0
380 381 8.750000e-01 1.125000e+00 2.500000e-01 2.857143e+01 3.966000e+00 1.918810e+02 2 1 1520 2 1 0
400 401 8.750000e-01 1.125000e+00 2.500000e-01 2.857143e+01 4.005000e+00 2.000000e+02 2 1 1600 2 1 0
420 421 8.750000e-01 1.125000e+00 2.500000e-01 2.857143e+01 4.044000e+00 2.079624e+02 2 1 1680 2 1 0
440 441 8.750000e-01 1.125000e+00 2.500000e-01 2.857143e+01 4.083000e+00 2.157727e+02 2 1 1760 2 1 0
460 461 8.750000e-01 1.125000e+00 2.500000e-01 2.857143e+01 4.120000e+00 2.235437e+02 2 1 1840 2 1 0
480 481 8.750000e-01 1.125000e+00 2.500000e-01 2.857143e+01 4.159000e+00 2.310652e+02 1 1 1920 2 1 0
500 501 8.750000e-01 1.125000e+00 2.500000e-01 2.857143e+01 4.198000e+00 2.384469e+02 1 1 2000 2 1 0
Number of processed nodes has to be 1023