Infeasible Model - Model contains large matrix coefficients
ユーザーの入力を待っています。Hello
I am running a model with a linear Objective Function. Here are the results:
charging_station_cost = sum((100000 * x[i]) + (3000 * y[i]) for i in I)
EV_route_cost = sum(x[0] for x in L)
# Objective
model.setObjective(charging_station_cost + EV_route_cost, sense=GRB.MINIMIZE)
model.setParam('NumericFocus', 2)
model.setParam('ScaleFlag', 2)
model.optimize()
OUTPUT:
Set parameter NumericFocus to value 2 Gurobi Optimizer version 11.0.1 build v11.0.1rc0 (mac64[arm] - Darwin 21.6.0 21G83) CPU model: Apple M1 Thread count: 8 physical cores, 8 logical processors, using up to 8 threads Optimize a model with 688 rows, 1360 columns and 3012 nonzeros Model fingerprint: 0xd2b9c2b3 Variable types: 896 continuous, 464 integer (456 binary) Coefficient statistics: Matrix range [1e+00, 1e+09] Objective range [3e+03, 1e+05] Bounds range [1e+00, 1e+00] RHS range [1e+00, 3e+02] Warning: Model contains large matrix coefficients Presolve removed 420 rows and 1130 columns Presolve time: 0.00s Explored 0 nodes (0 simplex iterations) in 0.01 seconds (0.00 work units) Thread count was 1 (of 8 available processors) Solution count 0 Model is infeasible Best objective -, best bound -, gap - NUMBER OF CONSTRAINTS: 688
The problem it seems is in MATRIX RANGE. What can you recommend?
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Hi Toly,
Did you have a look at the Knowledge Base article How do I determine why my model is infeasible?
Best regards,
Jaromił0
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