Saddle point criteria for semidefinite semi-infinite convex multiobjective optimization problems

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. We establish saddle point necessary and sufficient optimality conditions un...

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Vydáno v:Yugoslav Journal of Operations Research Ročník 32; číslo 3; s. 283 - 297
Hlavní autoři: Laha, Vivek, Kumar, Rahul, Maurya, Jitendra
Médium: Journal Article
Jazyk:angličtina
Vydáno: University of Belgrade 2022
Témata:
multiobjective programming
saddle point criteria
semi-infinite programming
semidefinite programming
ISSN:0354-0243, 1820-743X
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Shrnutí: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. We establish saddle point necessary and sufficient optimality conditions under some suitable constraint qualification. We establish Karush-Kuhn-Tucker optimality conditions using the saddle point optimality conditions for the differentiable case and construct some examples to illustrate our results.
ISSN:0354-0243
1820-743X
DOI:10.2298/YJOR201223001L