Originally posted by: EXCT_RALF_GOLLMER
Hi all,
just encountered a strange log during the tune tool (default settings part) - a node objective is displayed being bigger than the incumbent's value (see node 4000 in the snippet):
Found incumbent value 1786982.780705 after 208.12 sec. (2370751.95 ticks)
2000 513 1786761.6131 64 1786982.7807 1786390.2518 139023 0.03%
* 3389+ 1891 1786826.1603 1786391.7622 0.02%
Found incumbent of value 1786826.160289 after 264.00 sec. (2380859.35 ticks)
* 3636+ 1807 1786816.9656 1786391.7622 0.02%
Found incumbent of value 1786816.965592 after 273.30 sec. (2382502.60 ticks)
* 3959+ 2050 1786622.6812 1786391.7622 0.01%
Found incumbent of value 1786622.681222 after 283.66 sec. (2384339.72 ticks)
4000 2155 1786713.5102 11 1786622.6812 1786391.7622 200268 0.01%
6000 2805 1786499.4482 46 1786622.6812 1786396.5127 254077 0.01%
8000 4686 1786426.1889 98 1786622.6812 1786397.3927 301875 0.01%
10000 6842 1786400.3166 132 1786622.6812 1786398.0282 359831 0.01%
Why isn't a 'cutoff' in that line? Is the displayed objective value not really the relaxation objective? Or was the incumbent value updated after deciding about the cutoff in that thread?
There is another part in that log quite hard to understand:
Cuts: 4
Found incumbent of value 2193393.814966 after 1318.10 sec. (1694736.22 ticks)
* 29075+18762 2193393.5018 2193087.6020 0.01%
Found incumbent of value 2193393.501783 after 1334.22 sec. (1699734.75 ticks)
30000 19365 2193306.0441 33 2193393.5018 2193087.6020 1075770 0.01%
32000 1197 2193139.8297 115 2193393.5018 2193095.7843 1153212 0.01%
Cuts: 6
* 32142+ 1253 2193384.9733 2193097.9495 0.01%
From node 30000 to node 32000, i.e. within 2000 nodes, the number of nodes is reduced by more than 18000 without a new incumbent. No idea how that can be done without evaluating that many nodes.
Is this a restart in the b&c? But maybe this is just due to the next incumbent being found by one of the threads before printing that line of output, while the new incumbent's node gets no. 32142 and is displayed only later.
Best regards
Ralf Gollmer
#CPLEXOptimizers#DecisionOptimization