Try our new documentation site (beta).


tsp_vb.vb


' Copyright 2020, Gurobi Optimization, LLC
'
' Solve a traveling salesman problem on a randomly generated set of
' points using lazy constraints.   The base MIP model only includes
' 'degree-2' constraints, requiring each node to have exactly
' two incident edges.  Solutions to this model may contain subtours -
' tours that don't visit every node.  The lazy constraint callback
' adds new constraints to cut them off.

Imports Gurobi

Class tsp_vb
    Inherits GRBCallback
    Private vars As GRBVar(,)

    Public Sub New(xvars As GRBVar(,))
        vars = xvars
    End Sub

    ' Subtour elimination callback.    Whenever a feasible solution is found,
    ' find the smallest subtour, and add a subtour elimination constraint
    ' if the tour doesn't visit every node.

    Protected Overrides Sub Callback()
        Try
            If where = GRB.Callback.MIPSOL Then
                ' Found an integer feasible solution - does it visit every node?

                Dim n As Integer = vars.GetLength(0)
                Dim tour As Integer() = findsubtour(GetSolution(vars))

                If tour.Length < n Then
                    ' Add subtour elimination constraint
                    Dim expr As GRBLinExpr = 0
                    For i As Integer = 0 To tour.Length - 1
                        For j As Integer = i + 1 To tour.Length - 1
                            expr.AddTerm(1.0, vars(tour(i), tour(j)))
                        Next
                    Next
                    AddLazy(expr <= tour.Length - 1)
                End If
            End If
        Catch e As GRBException
            Console.WriteLine("Error code: " & e.ErrorCode & ". " & e.Message)
            Console.WriteLine(e.StackTrace)
        End Try
    End Sub

    ' Given an integer-feasible solution 'sol', returns the smallest
    ' sub-tour (as a list of node indices).

    Protected Shared Function findsubtour(sol As Double(,)) As Integer()
        Dim n As Integer = sol.GetLength(0)
        Dim seen As Boolean() = New Boolean(n - 1) {}
        Dim tour As Integer() = New Integer(n - 1) {}
        Dim bestind As Integer, bestlen As Integer
        Dim i As Integer, node As Integer, len As Integer, start As Integer

        For i = 0 To n - 1
            seen(i) = False
        Next

        start = 0
        bestlen = n+1
        bestind = -1
        node = 0
        While start < n
            For node = 0 To n - 1
                if Not seen(node)
                    Exit For
                End if
            Next
            if node = n
                Exit While
            End if
            For len = 0 To n - 1
                tour(start+len) = node
                seen(node) = true
                For i = 0 To n - 1
                    if sol(node, i) > 0.5 AndAlso Not seen(i)
                        node = i
                        Exit For
                    End If
                Next
                If i = n
                    len = len + 1
                    If len < bestlen
                        bestlen = len
                        bestind = start
                    End If
                    start = start + len
                    Exit For
                End If
            Next
        End While

        For i = 0 To bestlen - 1
          tour(i) = tour(bestind+i)
        Next
        System.Array.Resize(tour, bestlen)

        Return tour
    End Function

    ' Euclidean distance between points 'i' and 'j'

    Protected Shared Function distance(x As Double(), y As Double(), _
                                       i As Integer, j As Integer) As Double
        Dim dx As Double = x(i) - x(j)
        Dim dy As Double = y(i) - y(j)
        Return Math.Sqrt(dx * dx + dy * dy)
    End Function

    Public Shared Sub Main(args As String())

        If args.Length < 1 Then
            Console.WriteLine("Usage: tsp_vb nnodes")
            Return
        End If

        Dim n As Integer = Convert.ToInt32(args(0))

        Try
            Dim env As New GRBEnv()
            Dim model As New GRBModel(env)

            ' Must set LazyConstraints parameter when using lazy constraints

            model.Parameters.LazyConstraints = 1

            Dim x As Double() = New Double(n - 1) {}
            Dim y As Double() = New Double(n - 1) {}

            Dim r As New Random()
            For i As Integer = 0 To n - 1
                x(i) = r.NextDouble()
                y(i) = r.NextDouble()
            Next

            ' Create variables

            Dim vars As GRBVar(,) = New GRBVar(n - 1, n - 1) {}

            For i As Integer = 0 To n - 1
                For j As Integer = 0 To i
                    vars(i, j) = model.AddVar(0.0, 1.0, distance(x, y, i, j), _
                                              GRB.BINARY, "x" & i & "_" & j)
                    vars(j, i) = vars(i, j)
                Next
            Next

            ' Degree-2 constraints

            For i As Integer = 0 To n - 1
                Dim expr As GRBLinExpr = 0
                For j As Integer = 0 To n - 1
                    expr.AddTerm(1.0, vars(i, j))
                Next
                model.AddConstr(expr = 2.0, "deg2_" & i)
            Next

            ' Forbid edge from node back to itself

            For i As Integer = 0 To n - 1
                vars(i, i).UB = 0.0
            Next

            model.SetCallback(New tsp_vb(vars))
            model.Optimize()

            If model.SolCount > 0 Then
                Dim tour As Integer() = findsubtour(model.Get(GRB.DoubleAttr.X, vars))

                Console.Write("Tour: ")
                For i As Integer = 0 To tour.Length - 1
                    Console.Write(tour(i) & " ")
                Next
                Console.WriteLine()
            End If

            ' Dispose of model and environment
            model.Dispose()

            env.Dispose()
        Catch e As GRBException
            Console.WriteLine("Error code: " & e.ErrorCode & ". " & e.Message)
            Console.WriteLine(e.StackTrace)
        End Try
    End Sub
End Class

Try Gurobi for Free

Choose the evaluation license that fits you best, and start working with our Expert Team for technical guidance and support.

Evaluation License
Get a free, full-featured license of the Gurobi Optimizer to experience the performance, support, benchmarking and tuning services we provide as part of our product offering.
Academic License
Gurobi supports the teaching and use of optimization within academic institutions. We offer free, full-featured copies of Gurobi for use in class, and for research.
Cloud Trial

Request free trial hours, so you can see how quickly and easily a model can be solved on the cloud.

Search

Gurobi Optimization