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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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A New Weak Slater Constraint Qualification for Non-Smooth Multi-Objective Semi-Infinite Programming Problems [PDF]
Control and Optimization in Applied Mathematics, 2023 This paper addresses a non-smooth multi-objective semi-infinite programming problem that involves a feasible set defined by inequality constraints. Our focus is on introducing a new weak Slater constraint qualification and deriving the necessary and ...
Hamed Soroush
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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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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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Optimality and duality for nonsmooth semi-infinite multiobjective programming with support functions [PDF]
Yugoslav Journal of Operations Research, 2017 In this paper, we consider a nonsmooth semi-infinite multiobjective programming problem involving support functions. We establish sufficient optimality conditions for the primal problem.
Singh Yadvendra, Mishra S.K., Lai K.K.
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Compensating Data Shortages in Manufacturing with Monotonicity Knowledge
Algorithms, 2021 Systematic decision making in engineering requires appropriate models. In this article, we introduce a regression method for enhancing the predictive power of a model by exploiting expert knowledge in the form of shape constraints, or more specifically ...
Martin von Kurnatowski +8 more
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Volumetric Barrier Cutting Plane Algorithms for Stochastic Linear Semi-Infinite Optimization
IEEE Access, 2020 In this paper, we study the two-stage stochastic linear semi-infinite programming with recourse to handle uncertainty in data defining (deterministic) linear semi-infinite programming.
Baha Alzalg, Asma Gafour, Lewa Alzaleq
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Mathematics, 2018 This paper deals with robust quasi approximate optimal solutions for a nonsmooth semi-infinite optimization problems with uncertainty data. By virtue of the epigraphs of the conjugates of the constraint functions, we first introduce a robust type closed ...
Xiangkai Sun, Hongyong Fu, Jing Zeng
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Bolza type problems in infinite dimensional discrete time [PDF]
Journal of Hyperstructures, 2013 In this paper we study a discrete time version of deterministic models in optimization in infinite dimensional. The functionals are assumed to be merely lower semi continuous.
Rahma Sahraoui
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Journal of Inequalities and Applications, 2019 This paper provides some new results on robust approximate optimal solutions of a fractional semi-infinite optimization problem under uncertainty data in the constraint functions.
Jing Zeng, Peng Xu, Hongyong Fu
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