if model.status == GRB.OPTIMAL: print("Optimal solution found:") for v in model.getVars(): print('%s: %g' % (v.varName, v.x)) print("Objective value: %g" % model.objVal) else: print("No optimal solution found.") ``` 4. 示例 下面是一个简单的无约束优化问题的示例,目标函数为...
检查模型状态:在尝试计算IIS之前,使用Gurobi提供的函数检查模型的状态(例如,model.status)。如果模型状态是GRB.OPTIMAL(表示模型可行且已找到最优解),则不应尝试计算IIS。 条件性计算IIS:在代码中添加条件判断,仅当模型状态指示不可行(如GRB.INFEASIBLE)时才计算IIS。 5. 总结与解决方案 在Gurobi中,计算IIS是一个用...
Callback.MIPNODE: status = model.cbGet(GRB.Callback.MIPNODE_STATUS) if status == GRB.OPTIMAL: rel = model.cbGetNodeRel(x) if rel[0] + rel[1] > 1.1: model.cbCut(x[0] + x[1] <= 1) model.optimize(mycallback) cbGet(what)# Query the optimizer from within the user call...
Status) == GRB.Status.INFEASIBLE) { GRBVar[] vars = model.getVars(); double[] ubpen = new double[model.get(GRB.IntAttr.NumVars)]; for (int i = 0; i < model.get(GRB.IntAttr.NumVars); i++) { ubpen[i] = 1.0; } model.feasRelax(0, false, vars, null, ubpen, null, ...
status, condition = m.solve(solver_name=solver_name, **solver_options, **kwargs) ^^^ File "C:\Users\scott\miniconda3\envs\247-env\Lib\site-packages\linopy\model.py", line 1060, in solve result = func( ^^^ File "C:\Users\scott\miniconda3\envs\247-env\Lib\site-packages...
if model.status == GRB.OPTIMAL: print("Optimal solution found:") for v in model.getVars(): print('%s: %g' % (v.varName, v.x)) print("Objective value: %g" % model.objVal) else: print("No optimal solution found.") ``` ...
model– The MIP model (with a solution loaded) to fix. intGRBreset(GRBmodel*model,intclearall)# Reset the model to an unsolved state, discarding any previously computed solution information. Return value: A non-zero return value indicates that a problem occurred while resetting the model. Refe...
Status Type: int Modifiable: No Current optimization status for the model. Status values are described in the Status Code section. For examples of how to query or modify attributes, refer to our Attribute Examples.SolCount Type: int Modifiable: No Number of stored solutions from the most ...
The status of the optimization, returned as a string. The desired result is OPTIMAL, which indicates that an optimal solution to the model was found. Other status are possible, for example if the model has no feasible solution or if you set a Gurobi parameter that leads to early solver ter...
As already noted, you are allowed to query the value of the Status attribute while an asynchronous optimization is in progress. The other attributes that can be queried are: ObjVal, ObjBound, IterCount, NodeCount, and BarIterCount. In each case, the returned value reflects progress in the ...