Robust nonsmooth optimality conditions for uncertain multiobjective programs involving stable functions

In this paper, we study and develop robust nonsmooth optimality conditions and duality analysis for an uncertain multiobjective programming problem with constraints (( UCMOP ), for brevity). First, we introduce the constraint qualification of the ( GRSCQ ) type and then establish some robust necessa...

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Published in:Positivity : an international journal devoted to the theory and applications of positivity in analysis Vol. 28; no. 4; p. 60
Main Author: Van Su, Tran
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 01.09.2024
Springer Nature B.V
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ISSN:1385-1292, 1572-9281
Online Access:Get full text
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Summary:In this paper, we study and develop robust nonsmooth optimality conditions and duality analysis for an uncertain multiobjective programming problem with constraints (( UCMOP ), for brevity). First, we introduce the constraint qualification of the ( GRSCQ ) type and then establish some robust necessary optimality conditions in terms of the generalized subdifferentials for some types of minima (including robust weakly efficient and robust properly efficient) to such problem involving stable functions. Under suitable assumptions on the pseudo-convexity of objective and constraint functions, robust necessary nonsmooth optimality conditions become robust sufficient optimality conditions. An application of the obtained results for its Wolfe and Mond–Weir types dual problem is presented and some illustrative examples are also provided for our findings.
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ISSN:1385-1292
1572-9281
DOI:10.1007/s11117-024-01077-w