JOURNAL ARTICLE

Optimality conditions for nonsmooth interval-valued and multiobjective semi-infinite programming

Mohsine JennaneEl Mostafa KalmounLahoussine Lafhim

Year: 2020 Journal:   RAIRO - Operations Research Vol: 55 (1)Pages: 1-11   Publisher: EDP Sciences

Abstract

We consider a nonsmooth semi-infinite interval-valued vector programming problem, where the objectives and constraint functions need not to be locally Lipschitz. Using Abadie’s constraint qualification and convexificators, we provide Karush–Kuhn–Tucker necessary optimality conditions by converting the initial problem into a bi-criteria optimization problem. Furthermore, we establish sufficient optimality conditions under the asymptotic convexity assumption.

Keywords:
Convexity Mathematics Lipschitz continuity Mathematical optimization Interval (graph theory) Constraint (computer-aided design) Semi-infinite programming Multiobjective programming Applied mathematics Multi-objective optimization Regular polygon Combinatorics Pure mathematics

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Citation History

Topics

Optimization and Variational Analysis
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Fuzzy Systems and Optimization
Physical Sciences →  Mathematics →  Statistics and Probability
Optimization and Mathematical Programming
Physical Sciences →  Engineering →  Control and Systems Engineering
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