Isaac Scientific Publishing

Journal of Advances in Applied Mathematics

An Improved Exact Penalty Result for Mathematical Programs with Vanishing Constraints

Download PDF (483.1 KB) PP. 43 - 49 Pub. Date: April 12, 2018

DOI: 10.22606/jaam.2018.32001

Author(s)

  • Qingjie Hu*
    Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation; School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, P.R. China
  • Haiqi Zhang
    Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation; School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, P.R. China
  • Yu Chen
    School of Mathematics and Statistics, Guangxi Normal University, Guilin, P.R. China
  • Ming Tang
    Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation; School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, P.R. China

Abstract

In this paper, by introducing a Fritz-John type result for mathematical program with vanishing constraints (MPVC), we present some new constraint qualifications which are strictly weaker than the MPVC-Mangasarian Fromovitz constraint qualification (MPVC-MFCQ). We show that the MPVC-tailored penalty function which was introduced in [1] is still exact for MPVC under the MPVC-generalized pseudonormality. Our exact penalty result improves the one in [1].

Keywords

Mathematical programs with vanishing constraints, Fritz-John type result, Constraint qualification, Exact penalty

References

[1] T.Hoheisel, C.Kanzow, J.V.Outrata. "Exact penalty results for mathematical programs with vanishing constraints," Nonlinear Analysis: Theory, Methods and Applications, vol.72, no.5, pp.2514-2526, 2010.

[2] W.Achtziger, C.Kanzow. "Mathematical programs with vanishing constraints: Optimality conditions and constraints qualifications," Mathematical Programming, vol.114,no.1, pp.69-99, 2008.

[3] W.Achtziger, T.Hoheisel, C.Kanzow. "A smoothing-regularization approach to mathematical programs with vanishing constraints," Computational Optimization and Applications, vol.55, no.1, pp.733-767, 2013.

[4] W.Achtziger, T.Hoheisel, C.Kanzow. "On a relaxation method for mathematical programs with vanishing constraints," GAMM-Mitt., vol.35, no.2, pp.110-130, 2012.

[5] D.Dorsch, V.Shikhman, O.Stein. "Mathematical programs with vanishing constraints: critical point theory," Journal of Global Optimization, vol.52,no.3, pp.591-605, 2012.

[6] T.Hoheisel, C.Kanzow. "On the Abadie and Guignard constraint qualification for mathematical programs with vanishing constraints," Optimization, vol.58, no.4, pp.431-448, 2009.

[7] T.Hoheisel, C.Kanzow. "Stationary conditions for mathematical programs with vanishing constraints using weak constraint qualification," Journal of Mathematical Analysis and Applications, vol.337,no.1, pp.292-310, 2008.

[8] T.Hoheisel, C.Kanzow. "First- and second-order optimality conditions for mathematical programs with vanishing constraints," Applications of Mathematics, vol.52,no.6, pp.495-514, 2007.

[9] T.Hoheisel, C.Kanzow, A.Schwartz. "Convergence of a local regularization approach for mathematical programs with complementarity or vanishing constraints," Optimization Method and Software, vol.27, no.3, pp.483-512, 2012.

[10] A.F.Izmailov, A.L. Pogosyan. "Optimality conditions and Newton-type methods for mathematical programs with vanishing constraints," Computational Mathematics and Mathematical Physics, vol.49, no.7, pp.1128-1140, 2009.

[11] A.F.Izmailov, M. V. Solodov. "Mathematical Programs with Vanishing Constraints: Optimality Conditions, Sensitivity and a Relaxation Method," Journal of Optimization Theory and Applications, vol.142, no.3, pp.501-532, 2009.

[12] D.P.Bertsekas, A.E.Ozdaglar. "Pseudomormality and a Lagrange multiplier theory for constrained optimization," Journal of Optimization Theory and Applications, vol.114, no.2, pp.287-343, 2002.

[13] C.Kanzow, A.Schwartz. "Mathematical programs with equilibrium constraints: enhanced Fritz John-conditions, new constraint qualifications and improved exact penalty results," SIAM Journal on Optimization, vol.20, no.5, pp.2730-2753, 2010.

[14] J.J.Ye, J.Zhang. "Enhanced Karush-Kuhn-Tucker condition and weaker constraint qualifications," Mathematical Programming, Ser.B. vol.139, no.1-2, pp.353-381, 2013.

[15] D.P.Bertsekas, A.E.Ozdaglar. "The relation between pseudonormality and quasiregularity in constrained optimization," Optimization Methods and Software, vol.19, no.5, pp.493-506, 2004.

[16] J.J.Ye, J.Zhang. "Enhanced Karush-Kuhn-Tucker condition for mathematical programs with equilibrium constraints," Journal of Optimization Theory and Applications, DOI 10.1007/s10957-013-0493-3, 2013.

[17] F.H.Clarke. "Optimization and Nonsmooth Analysis," Wiley, New York, 1983.

[18] C.Kirches, A.Potschka, H.G.Bock, S.Sager. "A parametric active set method for quadratic programs with vanishing constraints," Pac. J. Optim., vol.9, no.2, pp.275-299, 2013.

[19] R.A.Jabr. "Solution to economic dispatching with disjoint feasible regions via semidefinite programming," IEEE Trans. Power Syst., vol.27, no.1, pp.572-573, 2012.

[20] N.J.Michael, C.Kirches, S.Sager. "On perspective functions and vanishing constraints in mixed-integer nonlinear optimal control," Facets of Combinatorial Optimization, pp.387-417, 2013.