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

Title:
Saddle point criteria for semidefinite semi-infinite convex multiobjective optimization problems
Authors:
Laha Vivek, Kumar Rahul, Maurya Jitendra Kumar
Source:
Yugoslav Journal of Operations Research, Vol 32, Iss 3, Pp 283-297 (2022)
Publisher Information:
National Library of Serbia, 2022.
Publication Year:
2022
Subject Terms:
T58.6-58.62, 0211 other engineering and technologies, multiobjective programming, saddle point criteria, semi-infinite programming, Management information systems, 02 engineering and technology, semidefinite programming
Document Type:
Fachzeitschrift Article
Language:
English
ISSN:
1820-743X
0354-0243
DOI:
10.2298/yjor201223001l
Access URL:
https://doaj.org/article/99decf8e08194414bbf7c1fffc048a67
Rights:
CC BY NC SA
Accession Number:
edsair.doi.dedup.....f7cef6e9b0404eacb5a30ef6082b61e2
Database:
OpenAIRE

Weitere Informationen

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.