On strong KKT type sufficient optimality conditions for multiobjective semi-infinite programming problems with vanishing constraints [PDF]
Journal of Inequalities and Applications, 2017 In this paper, we consider a nonsmooth multiobjective semi-infinite programming problem with vanishing constraints (MOSIPVC). We introduce stationary conditions for the MOSIPVCs and establish the strong Karush-Kuhn-Tucker type sufficient optimality ...
Sy-Ming Guu +2 more
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Karush-Kuhn-Tucker optimality conditions and duality for multiobjective semi-infinite programming with equilibrium constraints [PDF]
Yugoslav Journal of Operations Research, 2021 The purpose of this paper is to study multiobjective semi-infinite programming with equilibrium constraints. Firstly, the necessary and sufficient Karush-Kuhn-Tucker optimality conditions for multiobjective semi-infinite programming with equilibrium ...
Le Thanh Tung
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Saddle point criteria for semidefinite semi-infinite convex multiobjective optimization problems [PDF]
Yugoslav Journal of Operations Research, 2022 In this paper, we consider a nonlinear semidefinite semi-infinite convex multiobjective optimization problem where the feasible region is determined by finite number of equality and infinite number of inequality constraints.
Laha Vivek +2 more
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Journal of Mathematics, 2022 Optimization problems containing a finite number of variables and an infinite number of constraints are called semi-infinite programming problems. Under certain conditions, a class of these problems can be represented as bi-level programming problems. Bi-
Abraham Barragán +1 more
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Corrigendum on: Optimality conditions and duality for multiobjective semi-infinite programming with data uncertainty via Mordukhovich subdifferential (Yugoslav Journal of Operations Research, vol. 31, no 4, doi: https://doi.org/10.2298/YJOR201017013P) [PDF]
Yugoslav Journal of Operations Research, 2022 The author of the article "Optimality Conditions and Duality for Multiobjective Semi-Infinite Programming with Data Uncertainity via Mordukhovich Subdifferential", Thanh-Hung Pham has informed the Editor about necessary corrections of the paper.
Editoral
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Mathematics, 2023 Minimax fractional semi-infinite programming is an important research direction for semi-infinite programming, and has a wide range of applications, such as military allocation problems, economic theory, cooperative games, and other fields.
Hong Yang, Angang Cui
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Recent advances in nonconvex semi-infinite programming: Applications and algorithms
EURO Journal on Computational Optimization, 2021 The goal of this literature review is to give an update on the recent developments for semi-infinite programs (SIPs), approximately over the last 20 years. An overview of the different solution approaches and the existing algorithms is given. We focus on
Hatim Djelassi +2 more
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Nonsmooth semi-infinite roughly B-invex multi-objective programming problems
Results in Control and Optimization, 2023 In this paper, we will study a nonsmooth semi-infinite multi-objective programming problem involving roughly B-invex functions. Sufficient optimality conditions for the primal problem are derived. We shall formulate Mond–Weir type dual and establish weak
Tarek Emam
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A distributionally robust optimization approach for two-stage facility location problems
EURO Journal on Computational Optimization, 2020 In this paper, we consider a facility location problem where customer demand constitutes considerable uncertainty, and where complete information on the distribution of the uncertainty is unavailable.
Arash Gourtani +2 more
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Optimality conditions and duality for multiobjective semi-infinite programming with data uncertainty via Mordukhovich subdifferential [PDF]
Yugoslav Journal of Operations Research, 2021 Based on the notation of Mordukhovich subdifferential in [27], we propose some of new concepts of convexity to establish optimality conditions for quasi ε−solutions for nonlinear semi-infinite optimization problems with data uncertainty in constraints ...
Pham Thanh-Hung
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