Example #1
0
 /* (non-Javadoc)
  * @see com.tufiestapesta.champagnador.ilp.lpsolve.LinearModelSolver#solveModel()
  */
 @Override
 public void solveModel() {
   try {
     lpModel.solve();
     double[] var = lpModel.getPtrVariables();
     for (int i = 0; i < var.length; i++) {
       System.out.println("Value of var[" + i + "] = " + var[i]);
       linearModel.addResult(
           new Result(linearModel.getOrderedVariables().get(i), BigDecimal.valueOf(var[i])));
     }
   } catch (LpSolveException e) {
     e.printStackTrace();
     throw new RuntimeException("Unable to solve LpSolve linear model.", e);
   }
 }
Example #2
0
 private double[] getFunctionalAsArray(Functional f) {
   int varCount = linearModel.getOrderedVariables().size();
   double[] coefs = new double[varCount];
   for (int i = 0; i < varCount; i++) {
     Variable v = linearModel.getOrderedVariables().get(i);
     BigDecimal term = f.getTermFor(v);
     double coef;
     if (term != null) {
       coef = term.doubleValue();
     } else {
       coef = BigDecimal.ZERO.doubleValue();
     }
     coefs[i] = coef;
   }
   return coefs;
 }
Example #3
0
 private LpSolve mapModel() {
   try {
     lpModel =
         LpSolve.makeLp(linearModel.getRestrictions().size(), linearModel.getVariables().size());
     lpModel.setObjFn(getFunctionalAsArray(linearModel.getFunctional()));
     // Goal.MAXIMIZE => true, Goal.MINIMIZE => false
     lpModel.setSense(Goal.MAXIMIZE == linearModel.getFunctional().getGoal());
     for (Restriction r : linearModel.getRestrictions()) {
       lpModel.addConstraint(
           getCoeficientsArray(r), getLpCondition(r.getCondition()), getConstant(r));
     }
     return lpModel;
   } catch (LpSolveException e) {
     e.printStackTrace();
     throw new RuntimeException("Unable to build LpSolve linear model.", e);
   }
 }