# 设置目标函数 model.setObjective(2*x + 3*y, gp.GRB.MAXIMIZE) # 求解模型 model.optimize() # 打印最优解 print("Optimal solution:") print("x =", x.x) print("y =", y.x) print("Objective value =", model.objVal) 在这个示例中,我们定义了一个最大化目标函数2x + 3y,并求解模型。...
print("\nGlobal optimal solution found.") print(f"Objective Sense: {'MINIMIZE' if MODEL.ModelSense is 1 else 'MAXIMIZE'}") print(f"Objective Value = {MODEL.ObjVal}") try: print(pd.DataFrame([[var.X, var.RC] for var in MODEL.getVars()], index=[var.Varname for var in MODEL.ge...
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.") ``` 5. 结论...
print(f"Objective Value = {MODEL.ObjVal}") try: print(pd.DataFrame([[var.X, var.RC] for var in MODEL.getVars()], index=[var.Varname for var in MODEL.getVars()], columns=["Value", "Reduced Cost"])) print(pd.DataFrame([[Constr.Slack, Constr.pi] for Constr in MODEL.getConstr...
print('Objective value:', model.objVal) print('Variable value:', x.x) else: print('Optimization problem is infeasible or unbounded') 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. ...
print("Objective value: %g"% model.objVal) else:print("No optimal solution found.") ``` 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 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 Rosenbrock 函数: \[ f(x_1, x_2) = (1 - x_1)^2 + 100 \times (x_2 - x...
print("Objective value: %g" % model.objVal) else: print("No optimal solution found.") ``` 5. 结论 本文介绍了如何利用Python和Gurobi求解无约束优化问题,通过简单的代码示例,读者可以了解到如何定义优化模型、设置目标函数和变量,并使用Gurobi的求解器获取最优解。无约束优化问题在实际应用中具有广泛的应用...
例如: python print("Optimal solution:") for var in model.getVars(): print(var.VarName, var.X) print("Objective value:", model.objVal) 这些是GurobiPy的基本用法,可以根据具体优化问题的需求来进一步调用GurobiPy的其他功能,如设定优化参数、添加优化过程回调函数等。详细的用法可以参考GurobiPy的文档。
if model.status == GRB.OPTIMAL: print('Optimal objective value: %g' % model.objVal) for v in model.getVars(): print('%s = %g' % (v.varName, v.x)) else: print('Optimization was stopped with status %d' % model.status) 这个例子中,我们打印了最优目标函数值和每个变量的取值。 以上...
"""importgurobipyasgp m=gp.Model()x=m.addVar(vtype='B',name="x")y=m.addVar(vtype='B',name="y")z=m.addVar(vtype='B',name="z")m.setObjective(x+y+2*z,gp.GRB.MAXIMIZE)m.addConstr(x+2*y+3*z<=4)m.addConstr(x+y>=1)m.optimize()print(f"Optimal objective value:{m.obj...