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Burglar - Use of index sets, formulating logical constraints

Description
Several versions of a simple knapsack problem:
• xbburg: standard formlation
• xbburgi: shows how to index an array of variables by an index set
• xbburgl: adds several indicator constraints to state logical conditions
Further explanation of this example: Quick reference guide 'MIP formulations and linearizations', Section 4 Indicator constraints

Source Files
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xbburg.cs

/********************************************************/
/*  Xpress-BCL C# Example Problems                      */
/*  ==============================                      */
/*                                                      */
/*  file xbburg.cs                                      */
/*                                        */
/*  Example for the use of Xpress-BCL                   */
/*  (Burglar problem from the XPRESS-MP Tutorial,       */
/*   binary variable formulation)                       */
/*                                                      */
/*  (c) 2008 Fair Isaac Corporation                     */
/*      authors: S.Heipcke, D.Brett.                    */
/********************************************************/

using System;
using System.Text;
using System.IO;
using BCL;

namespace Examples
{

public class TestBurglar
{

public const int NItems = 8;                  /* Number of items */

/****DATA****/
/* Item:             1   2   3   4   5   6   7   8 */
double[] VALUE  =  {15,100, 90, 60, 40, 15, 10,  1};    /* Value of items */
double[] WEIGHT =  { 2, 20, 20, 30, 40, 30, 60, 10};    /* Weight of items */
double WTMAX    = 102;            /* Max weight allowed for haul */

public static void Main()
{
XPRB.init();
XPRBvar[] x = new XPRBvar[NItems];
XPRBexpr lobj, kn;
int i;
XPRBprob p = new XPRBprob("Burglar");           /* Initialize a new problem in BCL */
TestBurglar TestInstance = new TestBurglar();

/****VARIABLES****/
/* 1 if we take item i; 0 otherwise */
for(i=0;i<NItems;i++)
x[i]=p.newVar("x", BCLconstant.XPRB_BV);

/****OBJECTIVE****/
lobj = new XPRBexpr();
for(i=0;i<NItems;i++)
lobj += TestInstance.VALUE[i] * x[i];
p.setObj(p.newCtr("OBJ",lobj));  /* Set objective: maximize total value */

/****CONSTRAINTS****/
kn = new XPRBexpr();
for(i=0;i<NItems;i++)
kn += TestInstance.WEIGHT[i] * x[i];
p.newCtr("WtMax", kn <= TestInstance.WTMAX);  /* Weight restriction */

/****SOLVING + OUTPUT****/
p.setSense(BCLconstant.XPRB_MAXIM);         /* Choose the sense of the optimization */
p.mipOptimize();                    /* Solve the MIP-problem */
System.Console.WriteLine("Objective: " + p.getObjVal());  /* Get objective value */

for(i=0;i<NItems;i++)
System.Console.Write(x[i].getName() + ":" + x[i].getSol() + " ");  /* Print out the solution */
System.Console.WriteLine();

return;
}

}

}