First, set the following:


Languages:
C
C++
Java
.NET
Python
MATLAB
R

Then, choose below:


Quick Start Guides

Example Tour

Reference Manual

AMPL-Gurobi Guide

Cloud Guide

mip1_vb.vb


mip1_vb.vb


' Copyright 2017, Gurobi Optimization, Inc.
'
' This example formulates and solves the following simple MIP model:
'
'    maximize    x +   y + 2 z
'    subject to  x + 2 y + 3 z <= 4
'                x +   y       >= 1
'    x, y, z binary

Imports System
Imports Gurobi

Class mip1_vb
    Shared Sub Main()
        Try
            Dim env As GRBEnv = New GRBEnv("mip1.log")
            Dim model As GRBModel = New GRBModel(env)

            ' Create variables

            Dim x As GRBVar = model.AddVar(0.0, 1.0, 0.0, GRB.BINARY, "x")
            Dim y As GRBVar = model.AddVar(0.0, 1.0, 0.0, GRB.BINARY, "y")
            Dim z As GRBVar = model.AddVar(0.0, 1.0, 0.0, GRB.BINARY, "z")

            ' Set objective: maximize x + y + 2 z

            model.SetObjective(x + y + 2 * z, GRB.MAXIMIZE)

            ' Add constraint: x + 2 y + 3 z <= 4

            model.AddConstr(x + 2 * y + 3 * z <= 4.0, "c0")

            ' Add constraint: x + y >= 1

            model.AddConstr(x + 2 * y + 3 * z <= 4.0, "c1")

            ' Optimize model

            model.Optimize()

            Console.WriteLine(x.VarName & " " & x.X)
            Console.WriteLine(y.VarName & " " & y.X)
            Console.WriteLine(z.VarName & " " & z.X)

            Console.WriteLine("Obj: " & model.ObjVal)

            ' Dispose of model and env

            model.Dispose()
            env.Dispose()

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