Speed up MIP.
AnsweredHi,
I have a model that has following characteristics
Optimize a model with 1630 rows, 23392 columns and 4329 nonzeros
Model fingerprint: 0x34ba5f74
Model has 21 quadratic constraints
Model has 43782 general constraints
Variable types: 1082 continuous, 22310 integer (21890 binary)
Coefficient statistics:
Matrix range [1e+00, 4e+01]
QMatrix range [2e+00, 2e+00]
Objective range [2e+00, 4e+01]
Bounds range [1e+00, 2e+02]
RHS range [1e+00, 2e+02]
GenCon rhs range [1e+00, 6e+01]
GenCon coe range [1e+00, 4e+01]
Presolve added 60847 rows and 23431 columns
Presolve time: 1.64s
Presolved: 62477 rows, 46823 columns, 186456 nonzeros
Variable types: 152 continuous, 46671 integer (46380 binary)
Hardware
CPU model: Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz
Thread count: 6 physical cores, 12 logical processors, using up to 12 threads
16GB RAM
However, it is very slow. Takes closer to an hour to complete. I am new to LP and followed some suggestions and played with the following params.
# opt_mod.Params.FeasibilityTol = 1e-2
# opt_mod.Params.NoRelHeurTime = 5
# opt_mod.Params.BranchDir = 1
# opt_mod.Params.NodeMethod = 2
# opt_mod.Params.NumericFocus = 2
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Hi Shesha,
Could you please share the full log of a run? This will help us to identify bottlenecks in the solution process.
Best regards,
Simran0 -
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I had some issues in the model and therefore, I will fix my issues and will reach out if I have issues. Thank you for your support.
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