Article ID: | iaor20003768 |
Country: | Netherlands |
Volume: | 13 |
Issue: | 1/2/3 |
Start Page Number: | 25 |
End Page Number: | 59 |
Publication Date: | Apr 1999 |
Journal: | Computational Optimization and Applications |
Authors: | Ralph Daniel, Jiang Houyuan |
Keywords: | optimization, computational analysis |
We describe a technique for generating a special class, called QPEC, of mathematical programs with equilibrium constriants, MPEC. A QPEC is a quadratic MPEC, that is an optimization problem whose objective function is quadratic, first-level constraints are linear, and second-level (equilibrium) constraints are given by a parametric affine variational inequality or one of its specialisations. The generator, written in MATLAB, allows the user to control different properties of the QPEC and its solution. Options include the proportion of degenerate constraints in both the first and second level, ill-conditioning, convexity of the objective, monotonicity and symmetry of the second-level problem, and so on. We believe these properties may substantially affect efficiency of existing methods for MPEC, and illustrate this numerically by applying several methods to generator test problems.