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  • 标题:Saddle point criteria for semidefinite semi-infinite convex multiobjective optimization problems
  • 本地全文:下载
  • 作者:Laha Vivek ; Kumar Rahul ; Maurya Jitendra Kumar
  • 期刊名称:Yugoslav Journal of Operations Research
  • 印刷版ISSN:0354-0243
  • 电子版ISSN:1820-743X
  • 出版年度:2022
  • 卷号:32
  • 期号:3
  • 页码:283-297
  • DOI:10.2298/YJOR201223001L
  • 语种:English
  • 出版社:Faculty of Organizational Sciences, Belgrade, Mihajlo Pupin Institute, Belgrade, Economics Institute, Belgrade, Faculty of Transport and Traffic Engineering, Belgrade, Faculty of Mechanical Engineering, Belgrade
  • 摘要: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.
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