Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mohsine Jennane"'
Publikováno v:
Croatian Operational Research Review, Vol 11, Iss 1, Pp 1-10 (2020)
We are interested in local quasi efficient solutions for nonsmooth vector optimization problems under new generalized approximate invexity assumptions. We formulate necessary and sufficient optimality conditions based on Stampacchia and Minty types o
Externí odkaz:
https://doaj.org/article/631cf246e26f4107a651de78f2e0dda4
Publikováno v:
Mathematics, Vol 10, Iss 22, p 4341 (2022)
We take up a nonsmooth multiobjective optimization problem with tangentially convex objective and constraint functions. In employing a suitable constraint qualification, we formulate both necessary and sufficient optimality conditions for (local) qua
Externí odkaz:
https://doaj.org/article/d063da8776aa491a827a00a7d3b2999e
Autor:
Mohsine Jennane
Publikováno v:
European Journal of Mathematics and Statistics. 3:71-80
In this paper, we study the existence of infinitely many weak solutions for problems involving both p(x)-Laplacian and p(x)- Biharmonic operators. In the proof of our main result, we use variational methods and the known symmetric mountain pass lemma
Publikováno v:
RAIRO - Operations Research. 55:3041-3048
In combining the value function approach and tangential subdifferentials, we establish necessary optimality conditions of a nonsmooth multiobjective bilevel programming problem under a suitable constraint qualification. The upper level objectives and
Publikováno v:
RAIRO - Operations Research. 55:23-25
This note corrects an error in our paper [RAIRO: OR 55 (2021) 1–11] as we should drop the expression “with at least one strict inequality” in the definition of interval order in Section 2. Instead of proposing this short amendment, the authors
Autor:
El Mostafa Kalmoun, Mohsine Jennane
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030622985
In this work, we demonstrate the connection between the solutions of approximate vector variational inequalities and approximate efficient solutions of corresponding nonsmooth vector optimization problems via generalized approximate invex functions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3603ebdc22a6c8065c99a81dd0db9a47
https://doi.org/10.1007/978-3-030-62299-2_7
https://doi.org/10.1007/978-3-030-62299-2_7
Interval-valued functions have been widely used to accommodate data inexactness in optimization and decision theory. In this paper, we study interval-valued vector optimization problems, and derive their relationships to interval variational inequali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::172cfa011547aa760732545639331c47