I've solved an lp using CPLEX callable library (in VS2010). The lp is the following:
Maximize
obj: x1 + 2 x2 + 3 x3
Subject To
c1: - x1 + x2 + x3 <= 20
c2: x1 - 3 x2 + x3 <= 30
Bounds
0 <= x1 <= 40
End
The code is given beneath. Now I would like to make it an MIP (additional integrality constraints on the x's). I tried to do so by changing status = CPXlpopt (env, lp);
into status = CPXmipopt (env, lp);
. This does not work and I get the error 3003: not a mixed-integer problem
. Does anybody know what I am missing here?
int main ()
{
/* Declare and allocate space for the variables and arrays where we
will store the optimization results including the status, objective
value, variable values, dual values, row slacks and variable
reduced costs. */
int solstat;
double objval;
double *x = NULL;
double *pi = NULL;
double *slack = NULL;
double *dj = NULL;
CPXENVptr env = NULL;
CPXLPptr lp = NULL;
int status = 0;
int i, j;
int cur_numrows, cur_numcols;
/* Initialize the CPLEX environment */
env = CPXopenCPLEX (&status);
/* Turn on output to the screen */
status = CPXsetintparam (env, CPX_PARAM_SCRIND, CPX_ON);
/* Turn on data checking */
status = CPXsetintparam (env, CPX_PARAM_DATACHECK, CPX_ON);
/* Create the problem. */
lp = CPXcreateprob (env, &status, "lpex1");
/* Now populate the problem with the data. */
#define NUMROWS 2
#define NUMCOLS 3
#define NUMNZ 6
/* To populate by column, we first create the rows, and then add the columns. */
int status = 0;
double obj[NUMCOLS];
double lb[NUMCOLS];
double ub[NUMCOLS];
char *colname[NUMCOLS];
int matbeg[NUMCOLS];
int matind[NUMNZ];
double matval[NUMNZ];
double rhs[NUMROWS];
char sense[NUMROWS];
char *rowname[NUMROWS];
CPXchgobjsen (env, lp, CPX_MAX); /* Problem is maximization */
/* Now create the new rows. First, populate the arrays. */
rowname[0] = "c1";
sense[0] = 'L';
rhs[0] = 20.0;
rowname[1] = "c2";
sense[1] = 'L';
rhs[1] = 30.0;
status = CPXnewrows (env, lp, NUMROWS, rhs, sense, NULL, rowname);
if ( status ) goto TERMINATE;
/* Now add the new columns. First, populate the arrays. */
obj[0] = 1.0; obj[1] = 2.0; obj[2] = 3.0;
matbeg[0] = 0; matbeg[1] = 2; matbeg[2] = 4;
matind[0] = 0; matind[2] = 0; matind[4] = 0;
matval[0] = -1.0; matval[2] = 1.0; matval[4] = 1.0;
matind[1] = 1; matind[3] = 1; matind[5] = 1;
matval[1] = 1.0; matval[3] = -3.0; matval[5] = 1.0;
lb[0] = 0.0; lb[1] = 0.0; lb[2] = 0.0;
ub[0] = 40.0; ub[1] = CPX_INFBOUND; ub[2] = CPX_INFBOUND;
colname[0] = "x1"; colname[1] = "x2"; colname[2] = "x3";
status = CPXaddcols (env, lp, NUMCOLS, NUMNZ, obj, matbeg, matind, matval, lb, ub, colname);
/* Optimize the problem and obtain solution. */
status = CPXlpopt (env, lp);
cur_numrows = CPXgetnumrows (env, lp);
cur_numcols = CPXgetnumcols (env, lp);
x = (double *) malloc (cur_numcols * sizeof(double));
slack = (double *) malloc (cur_numrows * sizeof(double));
dj = (double *) malloc (cur_numcols * sizeof(double));
pi = (double *) malloc (cur_numrows * sizeof(double));
status = CPXsolution (env, lp, &solstat, &objval, x, pi, slack, dj);
/* Write the output to the screen. */
printf ("\nSolution status = %d\n", solstat);
printf ("Solution value = %f\n\n", objval);
for (i = 0; i < cur_numrows; i++) {
printf ("Row %d: Slack = %10f Pi = %10f\n", i, slack[i], pi[i]);
}
for (j = 0; j < cur_numcols; j++) {
printf ("Column %d: Value = %10f Reduced cost = %10f\n",
j, x[j], dj[j]);
}
/* Finally, write a copy of the problem to a file. */
status = CPXwriteprob (env, lp, "lpex1.lp", NULL);
/* Free up the solution */
... (additional code to free up the solution)...
return(status)
}