In collaboration with Payame Noor University and the Iranian Society of Instrumentation and Control Engineers

Document Type : Research Article

Authors

Department of Mathematics, Payame Noor University (PNU), P.O. Box. 19395-4697, Tehran, Iran

Abstract

In this paper‎, ‎some constraint qualifications ‎of‎ the Guignard type are defined for optimization problems with continuously differentiable objective functions and locally Lipschitz switching constraints‎. ‎Then‎, ‎a new type of stationary condition‎, ‎named parametric stationary condition‎, ‎is presented for the problem‎, ‎and it is shown that all the stationarity conditions in various papers can be deduced from it‎. ‎This paper can be considered as an extension of a recent article (see Kanzow, et al.) to the nonsmooth case‎. ‎Finally‎, ‎the article ends with two important examples‎. ‎The results of the article are formulated according to Clark subdifferential and using nonsmooth analysis methods.

Keywords

[1] Ansari Ardali A., Movahedian N., Nobakhtian S. (2016). “Optimality conditions for non-smooth mathematical programs with equilibrium constraints, using convexificators”, Optimization, 65, 67-85.
[2] Ansari Ardali A., Movahedian N., Nobakhtian S. (2016). ”Optimality conditions for non-smooth equilibrium problems via Hadamard directional derivative”, Set-Valued and Variational Analysis, 24, 483-497.
[3] Clarke F. H. (1983). “Optimization and non-smooth analysis”, Wiley, Interscience.
[4] Giorgi G., Gwirraggio A., Thierselder J. (2004). “Mathematics of optimization”, Smooth and Nonsmooth cases, Elsevier.
[5] Kanzow C., Mehlitz P., Steck D. (2019). “Relaxation schemes for mathematical programs with switching constraints”, Optimization Methods and Software.
[6] Kazemi S., Kanzi N. (2018). “Constraint qualifications and stationary conditions for mathematical programming with non-differentiable vanishing constraints”, Journal of Optimization Theory and Applications, 179(3), 800-819.
[7] Kazemi S., Kanzi N., Ebadian A. (2019). “Estimating the Frechet normal cone in optimization problems with non-smooth vanishing constraints”, Iranian Journal of Science and Technology, Transactions A Science, 43(5), 2299-2306.
[8] Liang Y. C., Ye J. J. (2021). “Optimality conditions and exact penalty for mathematical programs with switching constraints”, Journal of Optimization Theory and Applications, 190, 1-31.
 [9] Mehlitz P. (2020). “Stationarity conditions and constraint qualifications for mathematical programs with switching constraints”, Mathematical Programming, 180(1), 149-186.
[10] Mokhtavayi H., Heydari A., Kanzi N. (2020). “First-order optimality conditions for Lipschitz optimization problems with vanishing constraints”, Iranian Journal of Science and Technology, Transactions A Science, 44 (6), 1853-1861.
[11] Shaker A. J., Kanzi N., Farahmand R. S., Reyhani A. P. (2018). “Characterization of properly efficient solutions for convex multi-objective programming with non-differentiable vanishing constraints”, Control and Optimization in Applied Mathematics, 3(2), 49-58.
[12] Shikhman V. (2021). “Topological approach to mathematical programs with switching constraints”, Set-Valued and Variational Analysis.