(5)cbGetNodeRel (vars ) 函数返回:变量在当前节点的松弛解 • vars 需要查询的变量 def mycallback(model, where): if where == GRB.Callback.MIPNODE and model.cbGet(GRB.Callback.MIPNODE_STATUS)== GRB.OPTIMAL : print model.cbGetNodeRel(model._vars) model._vars = model.getVars() mo...
status == GRB.OPTIMAL: # 检查最优解状态 print("Optimal production plan:") for i in range(products_num): # 循环遍历每个产品 print(f"Product {i}: {production[i].x}") # 每个产品的生产数量 print(f"Total profit: {m.objVal}") # 总利润 print("\nSensitivity Analysis:") # 灵敏度分析...
(x - y >= 1, "c1") # 设置求解时间限制为5秒 model.setParam('TimeLimit', 5) # 优化模型 model.optimize() # 输出结果 if model.status == GRB.OPTIMAL: print(f"Optimal solution found: x={x.x}, y={y.x}") elif model.status == GRB.TIME_LIMIT: print("Solution not found ...
我希望在每次迭代时都能得到解决方案,这样我就可以看到解决方案是如何发展的。0optimizer_time:error_code:0.0 5(或其他浮点数取决于problem)objective_bound: NaNoptimization_status: 7 )Drake/pydrake (由源代码构建,最近在主分支42448c0)Ubuntu 22.04.1 LTSGurobi 9.5.1上提交) 我最初与Ubuntu 18.04和Guro...
(3*x+5*y,GRB.MAXIMIZE)# 添加约束model.addConstr(2*x+3*y<=12,"c1")model.addConstr(4*x+y<=11,"c2")model.addConstr(x>=0,"c3")model.addConstr(y>=0,"c4")# 求解模型model.optimize()# 输出结果ifmodel.status==GRB.OPTIMAL:print(f"Optimal Value:{model.objVal}")print(f"x ={x.X...
Optimization returns with an ITERATION_LIMIT status if the limit is exceeded. This parameter is callback settable. It can be changed from within a callback when the where value is PRESOLVED, SIMPLEX, MIP, MIPSOL, MIPNODE, BARRIER, or MULTIOBJ (see the Callback Codes section for more info...
ifmodel.status==GRB.OPTIMAL:# 检查模型的状态print(f'Optimal solution: x1={x1.X}, x2={x2.X}')# 输出最优解else:print("No optimal solution found.")# 若没有找到最优解则输出提示 1. 2. 3. 4. 旅行图示例 使用mermaid语法,可视化工作流程如下: ...
以下是我的代码:usingGurobi@variable(m, 0<= x[1:20] <=status = solve(m) 运行此命令将导致: ERROR:Gurobi.GurobiError(10021, "Quadratic equality constraint 浏览18提问于2017-03-05得票数2 1回答 Pulp错误- 'NoneType‘对象没有属性'actualSolve’ ...
status = model.solve() if status: print("找到了最优解") else: print("未找到最优解") ``` 5. 输出结果:根据求解结果,可以输出最优解对应的变量值和目标函数值: ```python # 输出最优解对应的变量值 for i in range(n): print(f"x{i}={model.getVars(i).x[0]}") # 输出目标函数值 pr...
status = model.cbGet(GRB.Callback.Optimization.MIPNODE_STATUS) #Optimization status of current MIP node;status有15种,见手册Optimization Status Code,包含OPTIMAL。 if status == GRB.OPTIMAL: rel = model.cbGetNodeRel([model._vars[0], model._vars[1]]) #括号内是被松弛的变量 ...