Question

我有三个产品和五个盒子：

var products = new string[] { "A", "B", "C"};
var boxes = new string[] { "1", "2", "3" ,"4","5"};

和尺寸为：

double[,] boxDimensions = new double[,] 
                          {{8},
                          {15},
                          {30},
                          {40},
                          {50}};

double[,] productDimensions = new double[,] 
                        { { 5 },
                          { 10 },
                          { 20 } };

我想选择最小容量的盒子，所有产品都适合。

我写了下面的代码，我知道我应该添加约束来在它们中只选择1个框。但它没有工作（给不可行的溶胶）当前的状态。代码如下：

先谢谢你的帮助，

static void Main()
        {
            try
            {

                var products = new string[] { "A", "B", "C" };
                var boxes = new string[] { "1", "2", "3", "4", "5" };

                double[,] boxDimensions = new double[,] {{8},
                                          {15},
                                          {30},
                                          {40},
                                          {50}};

                double[,] productDimensions =
                    new double[,] { { 5 },
                                    { 5 },
                                    { 20 }};

                // Model
                GRBEnv env = new GRBEnv();
                GRBModel model = new GRBModel(env);
                model.Set(GRB.StringAttr.ModelName, "box");

                // Box decision variables: open[p] == 1 if box i is choosen.
                GRBVar[] open = new GRBVar[boxes.Length];
                for (int i = 0; i < boxes.Length; i++)
                {
                    open[i] = model.AddVar(0, 1, boxDimensions[i, 0], GRB.BINARY, boxes[i]);
                }

                GRBVar[] x = new GRBVar[products.Length];

                for (int j = 0; j < products.Length; j++)
                {
                    x[j] = model.AddVar(productDimensions[j, 0], productDimensions[j, 0], 0, GRB.CONTINUOUS, products[j]);
                }


                // The objective is to minimize the total fixed and variable costs
                model.Set(GRB.IntAttr.ModelSense, 1);

                // Update model to integrate new variables
                model.Update();
                GRBLinExpr lhs = 0.0;
                GRBLinExpr rhs = 0.0;
                // Production constraints
                // Note that the right-hand limit sets the production to zero if
                // the plant is closed
                // Constraint: assign exactly shiftRequirements[s] workers
                // to each shift s
                for (int s = 0; s < products.Length; ++s)
                {
                    lhs.AddTerm(1.0, x[s]);
                }

                for (int w = 0; w < boxes.Length; w++)
                {
                    rhs.AddTerm(boxDimensions[w, 0], open[w]);
                }

                model.AddConstr(lhs <= rhs, "BoxConstraint");

                model.GetEnv().Set(GRB.IntParam.Method, GRB.METHOD_BARRIER);

                // Solve
                model.Optimize();

                // Print solution
                int status = model.Get(GRB.IntAttr.Status);
                if (status == GRB.Status.UNBOUNDED)
                {
                    Console.WriteLine("The model cannot be solved "
                        + "because it is unbounded");
                    return;
                }
                if (status == GRB.Status.OPTIMAL)
                {
                    Console.WriteLine("The optimal objective is " +
                        model.Get(GRB.DoubleAttr.ObjVal));
                    return;
                }
                if ((status != GRB.Status.INF_OR_UNBD) &&
                    (status != GRB.Status.INFEASIBLE))
                {
                    Console.WriteLine("Optimization was stopped with status " + status);
                    return;
                }

                // Dispose of model and env
                model.Dispose();
                env.Dispose();

            }
            catch (GRBException e)
            {
                Console.WriteLine("Error code: " + e.ErrorCode + ". " + e.Message);
            }
        }

注意：我给出简单的问题（1D），实际上我真正的问题是3D问题。在这种情况下，我只考虑产品和盒子的长度，但实际上我也应该考虑宽度和高度。

Answer 1

您编写模型的一般方法是可以的。

然而，对于x，您将下限和上限设置为修复x的相同值。此外，我想知道为什么你让Gurobi使用障碍法。我不确定您正在使用的MIP设置中是否正确。

Gurobi C＃箱包装优化

1 个答案: