void SSCplex::Solve( void )
{
// the solver
#if( MIP )
status = CPXmipopt (env, lp);
if ( status ) {
stop("Failed to optimize MIP.\n", status);
}
int solstat = CPXgetstat (env, lp);
cout << "Solstat " << solstat << endl;
status = CPXgetmipobjval (env, lp, &objval);
if ( status )
stop("No MIP objective value available. Exiting...\n", status);
// get the best solution
int begin = 0;
int end = begin + NArcs;
status = CPXgetmipx (env, lp, Y, begin, end-1);
int k = 0;
bool found = false;
while( !found && ( k < lev_card ))
if( Y[k] )
{
found = true;
cout << "vf 0 on VM " << k << endl;
}
else
k++;
for( int h = 0; h < h_len - 1; h++ )
{
found = false;
int i = 0;
while( !found && ( i < lev_card ))
{
int j = 0;
int offset = lev_card + h * (lev_card * lev_card) + i * lev_card;
while( !found && ( j < lev_card ))
{
if( Y[offset + j] )
{
found = true;
cout << "vf " << h+1 << " on VM " << j << endl;
}
else
j++;
}
i++;
}
}
#endif
}//END SolveMIP
OptSolutionData* CPLEXRunSolver(int ProbType) {
OptSolutionData* NewSolution = NULL;
int Status = 0;
if (ProbType == LP) {
Status = CPXsetintparam (CPLEXenv, CPX_PARAM_LPMETHOD, CPX_ALG_AUTOMATIC);
if (Status) {
FErrorFile() << "Failed to set the optimization method." << endl;
FlushErrorFile();
return NULL;
}
Status = CPXsetintparam (CPLEXenv, CPX_PARAM_SIMDISPLAY, 0);
if (Status) {
FErrorFile() << "Failed to set the optimization method." << endl;
FlushErrorFile();
return NULL;
}
Status = CPXchgprobtype(CPLEXenv, CPLEXModel, CPXPROB_LP);
Status = CPXlpopt(CPLEXenv, CPLEXModel);
} else if(ProbType == MILP || ProbType == MIQP) {
//Setting the bound tightening on high
Status = CPXsetintparam (CPLEXenv, CPX_PARAM_BNDSTRENIND, 1);
if (Status) {
FErrorFile() << "Failed to set the optimization method." << endl;
FlushErrorFile();
return NULL;
}
//Setting tolerance to 1e-9 instead of 1e-6
double tolerance = atof(GetParameter("Solver tolerance").data());
Status = CPXsetdblparam(CPLEXenv,CPX_PARAM_EPRHS, tolerance);
if (Status) {
FErrorFile() << "Failed to set the optimization method." << endl;
FlushErrorFile();
return NULL;
}
Status = CPXsetdblparam(CPLEXenv,CPX_PARAM_EPINT, tolerance);
if (Status) {
FErrorFile() << "Failed to set the optimization method." << endl;
FlushErrorFile();
return NULL;
}
//Deactivates all messages from MIP solver
Status = CPXchgprobtype(CPLEXenv, CPLEXModel, CPXPROB_MILP);
Status = CPXmipopt (CPLEXenv, CPLEXModel);
} else if(ProbType == QP) {
Status = CPXqpopt (CPLEXenv, CPLEXModel);
}
if (Status ) {
cout << "Failed to optimize LP." << endl;
return NULL;
}
int Temp = CPXgetstat (CPLEXenv, CPLEXModel);
NewSolution = new OptSolutionData;
if (Temp == CPX_STAT_UNBOUNDED) {
cout << "Model is unbounded" << endl;
FErrorFile() << "Model is unbounded" << endl;
FlushErrorFile();
NewSolution->Status = UNBOUNDED;
return NewSolution;
} else if (Temp == CPX_STAT_INFEASIBLE) {
cout << "Model is infeasible" << endl;
FErrorFile() << "Model is infeasible" << endl;
FlushErrorFile();
NewSolution->Status = INFEASIBLE;
return NewSolution;
} else if (Temp == CPX_STAT_INForUNBD ) {
cout << "Model is infeasible or unbounded" << endl;
FErrorFile() << "Model is infeasible or unbounded" << endl;
FlushErrorFile();
NewSolution->Status = INFEASIBLE;
return NewSolution;
} else {
NewSolution->Status = SUCCESS;
}
int NumberColumns = CPXgetnumcols (CPLEXenv, CPLEXModel);
int NumberRows = CPXgetnumrows (CPLEXenv, CPLEXModel);
NewSolution->NumVariables = NumberColumns;
NewSolution->SolutionData.resize(NumberColumns);
double* x = new double[NumberColumns];
if (ProbType == MILP || ProbType == MIQP) {
Status = CPXgetmipobjval (CPLEXenv, CPLEXModel, &(NewSolution->Objective));
Status = CPXgetmipx (CPLEXenv, CPLEXModel, x, 0, NumberColumns-1);
} else {
Status = CPXsolution(CPLEXenv,CPLEXModel,NULL,&(NewSolution->Objective),x,NULL,NULL,NULL);
}
if ( Status ) {
cout << "Failed to obtain objective value." << endl;
delete [] x;
NewSolution->Status = INFEASIBLE;
return NewSolution;
}
cout << "Objective value: " << NewSolution->Objective << endl;
/*
string* StrNames = new string[NumberColumns];
char** Names = new char*[NumberColumns];
char* NameStore = new char[7*NumberColumns];
int Surplus = 0;
Status = CPXgetcolname(CPLEXenv, CPLEXModel, Names, NameStore, 7*NumberColumns, &Surplus, 0, NumberColumns-1);
if (Status) {
FErrorFile() << "Failed to get column names." << endl;
FlushErrorFile();
delete [] StrNames;
delete [] Names;
delete [] NameStore;
delete [] x;
delete NewSolution;
return NULL;
}
*/
for (int i=0; i < NumberColumns; i++) {
//StrNames[i].assign(Names[i]);
//StrNames[i] = StrNames[i].substr(1, StrNames[i].length()-1);
//NewSolution->SolutionData[atoi(StrNames[i].data())-1] = x[i];
NewSolution->SolutionData[i] = x[i];
}
/*
delete [] StrNames;
delete [] Names;
delete [] NameStore;
*/
delete [] x;
return NewSolution;
}
