N
Nader Kanzi
Researcher at Payame Noor University
Publications - 36
Citations - 396
Nader Kanzi is an academic researcher from Payame Noor University. The author has contributed to research in topics: Semi-infinite programming & Subderivative. The author has an hindex of 10, co-authored 34 publications receiving 319 citations. Previous affiliations of Nader Kanzi include University of Isfahan.
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Optimality conditions for nonsmooth semi-infinite multiobjective programming
Nader Kanzi,S. Nobakhtian +1 more
TL;DR: By imposing assumptions of generalized convexity, this paper gives sufficient conditions for efficient solutions for nonsmooth multiobjective semi-infinite programming problems in which the index set of the inequality constraints is an arbitrary set not necessarily finite.
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Optimality conditions for non-smooth semi-infinite programming
Nader Kanzi,S. Nobakhtian +1 more
TL;DR: Several kinds of constraint qualifications for non-smooth semi-infinite programming problems in which the index set of the inequality constraints is an arbitrary set not necessarily finite are introduced.
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Necessary optimality conditions for nonsmooth semi-infinite programming problems
TL;DR: In this article, for a nonsmooth semi-infinite programming problem where the objective and constraint functions are locally Lipschitz, analogues of the Guignard, Kuhn-Tucker, and Cottle constraint qualifications are given.
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Nonsmooth semi-infinite programming problems with mixed constraints
Nader Kanzi,S. Nobakhtian +1 more
TL;DR: In this article, the authors considered a nonsmooth semi-infinite programming problem with a feasible set defined by inequality and equality constraints and a set constraint, and applied alternative theorems to obtain, under different constraint qualifications, several necessary optimality conditions in the type of Fritz-John and Karush-Kuhn-Tucker.
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Optimality conditions in convex multiobjective SIP
Miguel A. Goberna,Nader Kanzi +1 more
TL;DR: New and already known data qualifications are introduced in order to get optimality conditions which are expressed in terms of either Karusk–Kuhn–Tucker multipliers or a new gap function associated with the given problem.