/********************************************************/
/* Xpress-BCL C# Example Problems */
/* ============================== */
/* */
/* file xbels.cs */
/* ````````````` */
/* Example for the use of Xpress-BCL */
/* (Economic lot sizing, ELS, problem, solved by */
/* adding(l,S)-inequalities) in several rounds */
/* looping over the root node) */
/* */
/* ELS considers production planning over a horizon */
/* of T periods. In period t, t=1,...,T, there is a */
/* given demand DEMAND[t] that must be satisfied by */
/* production prod[t] in period t and by inventory */
/* carried over from previous periods. There is a */
/* set-up up cost SETUPCOST[t] associated with */
/* production in period t. The unit production cost */
/* in period t is PRODCOST[t]. There is no inventory */
/* or stock-holding cost. */
/* */
/* (c) 2008 Fair Isaac Corporation */
/* authors: S.Heipcke, D.Brett. */
/********************************************************/
using System;
using System.Text;
using System.IO;
using Optimizer;
using BCL;
namespace Examples
{
public class TestAdvEls
{
const double EPS = 1e-6;
const int T = 6; /* Number of time periods */
/****DATA****/
int[] DEMAND = { 1, 3, 5, 3, 4, 2}; /* Demand per period */
int[] SETUPCOST = {17,16,11, 6, 9, 6}; /* Setup cost per period */
int[] PRODCOST = { 5, 3, 2, 1, 3, 1}; /* Production cost per period */
int[,] D = new int[T,T]; /* Total demand,periods t1-t2 */
XPRBvar[] prod = new XPRBvar[T]; /* Production in period t */
XPRBvar[] setup = new XPRBvar[T]; /* Setup in period t */
XPRBprob p = new XPRBprob("Els"); /* Initialize a new BCL prob */
/*********************************************************************/
public void modEls()
{
int s,t,k;
XPRBexpr cobj,le;
for(s=0;s= D[0,t]);
}
}
/*********************************************************************/
/* Cut generation loop at the top node: */
/* solve the LP and save the basis */
/* get the solution values */
/* identify and set up violated constraints */
/* load the modified problem and load the saved basis */
/*********************************************************************/
public void solveEls()
{
double objval; /* Objective value */
int t,l;
int starttime;
int ncut, npass, npcut; /* Counters for cuts and passes */
/* Solution values for var.s prod & setup */
double[] solprod = new double[T];
double[] solsetup = new double[T];
double ds;
XPRBbasis basis;
XPRBexpr le;
XPRSprob xprsp = p.getXPRSprob();
starttime=XPRB.getTime();
/* Disable automatic cuts - we use our own */
xprsp.CutStrategy = 0;
/* Switch presolve off */
xprsp.Presolve = 0;
ncut = npass = 0;
do
{
npass++;
npcut = 0;
p.lpOptimize("p"); /* Solve the LP */
basis = p.saveBasis(); /* Save the current basis */
objval = p.getObjVal(); /* Get the objective value */
/* Get the solution values: */
for(t=0;t= D[0][l]
*/
if(ds < D[0,l] - EPS)
{
le = new XPRBexpr(0);
for(t=0;t<=l;t++)
{
if (solprod[t] < D[t,l]*solsetup[t] + EPS)
le += prod[t];
else
le += D[t,l]*setup[t];
}
p.newCtr("cut" + (ncut+1), le >= D[0,l]);
ncut++;
npcut++;
}
}
System.Console.WriteLine("Pass " + npass + " (" +
(XPRB.getTime()-starttime)/1000.0 +
" sec), objective value " + objval + ", cuts added: " +
npcut + " (total " + ncut + ")");
if(npcut==0)
System.Console.Write("Optimal integer solution found:\n");
else
{
p.loadMat(); /* Reload the problem */
p.loadBasis(basis); /* Load the saved basis */
basis.reset(); /* No need to keep basis any longer */
}
} while(npcut>0);
/* Print out the solution: */
for(t=0;t |
/********************************************************
Xpress-BCL C# Example Problems
==============================
file xbelsc.cs
``````````````
Economic lot sizing, ELS, problem, solved by adding
(l,S)-inequalities) in a branch-and-cut heuristic
(using the cut manager).
ELS considers production planning over a horizon
of T periods. In period t, t=1,...,T, there is a
given demand DEMAND[t] that must be satisfied by
production prod[t] in period t and by inventory
carried over from previous periods. There is a
set-up up cost SETUPCOST[t] associated with
production in period t. The unit production cost
in period t is PRODCOST[t]. There is no inventory
or stock-holding cost.
(c) 2008 Fair Isaac Corporation
authors: S.Heipcke, D.Brett.
********************************************************/
using System;
using System.Text;
using System.IO;
using Optimizer;
using BCL;
namespace Examples
{
public class TestAdvElsCallback
{
const int T = 6; /* Number of time periods */
/****DATA****/
int[] DEMAND = { 1, 3, 5, 3, 4, 2}; /* Demand per period */
int[] SETUPCOST = {17,16,11, 6, 9, 6}; /* Setup cost per period */
int[] PRODCOST = { 5, 3, 2, 1, 3, 1}; /* Production cost per period */
int[,] D = new int[T,T]; /* Total demand in periods t1 - t2 */
XPRBvar[] prod = new XPRBvar[T]; /* Production in period t */
XPRBvar[] setup = new XPRBvar[T]; /* Setup in period t */
XPRBprob p = new XPRBprob("ElsC"); /* Initialize a new problem in BCL */
/***********************************************************************/
public void modEls()
{
int s,t,k;
XPRBexpr cobj,le;
for(s=0;s= D[0,t]);
}
}
/**************************************************************************/
/* Cut generation loop at the tree node: */
/* get the solution values */
/* identify and set up violated constraints */
/* add cuts to the matrix */
/**************************************************************************/
public int cbNode(XPRSprob xprsp, object mobj)
{
BCLconstant.XPRBprobStruct mo;
double objval; /* Objective value */
int t,l;
int ncut; /* Counters for cuts */
double[] solprod = new double[T];
double[] solsetup = new double[T]; /* Solution values for var.s prod & setup */
double ds;
int depth,node;
XPRBcut[] cut = new XPRBcut[T];
XPRBexpr le;
mo=(BCLconstant.XPRBprobStruct)mobj;
ncut = 0;
depth = xprsp.NodeDepth;
node = xprsp.Nodes;
/* Get the solution values */
mo.prob.beginCB(xprsp);
mo.prob.sync(BCLconstant.XPRB_XPRS_SOL);
for(t=0;t= D[0][l]
*/
if(ds < D[0,l] - mo.tol)
{
le = new XPRBexpr(0);
for(t=0;t<=l;t++)
{
if (solprod[t] < D[t,l]*solsetup[t] + mo.tol)
le += prod[t];
else
le += D[t,l]*setup[t];
}
cut[ncut] = mo.prob.newCut(le >= D[0,l]);
ncut++;
}
}
/* Add cuts to the problem */
if(ncut>0)
{
mo.prob.addCuts(cut, ncut);
objval = xprsp.LPObjVal;
System.Console.Write("Cuts added : " + ncut + " (depth " + depth + ", node ");
System.Console.WriteLine(node + "), obj. " + objval);
}
mo.prob.endCB();
return 0;
}
/***********************************************************************/
public void treeCutGen()
{
IntPtr oprob;
BCLconstant.XPRBprobStruct mo;
double feastol;
int starttime,t;
CutmgrCallback del = new CutmgrCallback(cbNode);
XPRSprob xprsp = p.getXPRSprob();
starttime=XPRB.getTime();
xprsp.LPLog = 0;
xprsp.MIPLog = 3;
xprsp.CutStrategy = 0;
xprsp.Presolve = 0;
xprsp.ExtraRows = 5000;
feastol = xprsp.FeasTol;
feastol*= 10;
mo.prob=p;
mo.tol=feastol;
p.setCutMode(1);
xprsp.AddCutmgrCallback(del, (object)mo);
p.mipOptimize(); /* Solve the MIP */
System.Console.Write("(" + (XPRB.getTime()-starttime)/1000.0 + " sec) Global status ");
System.Console.WriteLine(p.getMIPStat() + ", best solution: " + p.getObjVal());
for(t=0;t |
