نتایج جستجو برای: pascoletti serafini scalarization
تعداد نتایج: 507 فیلتر نتایج به سال:
where C ⊆ Rm is a closed convex and pointed cone with nonempty interior intC. (WVVI) was firstly introduced by Giannessi []. It has been shown to have many applications in vector optimization problems and traffic equilibrium problems (e.g., [, ]). Error bounds are to depict the distance from a feasible solution to the solution set, and have played an important role not only in sensitivity an...
Abstract Scalarization is a common technique to transform multiobjective optimization problem into scalar-valued problem. This article deals with the weighted Tchebycheff scalarization applied discrete problems. consists of minimizing maximum distance image feasible solution some desirable reference point. By choosing suitable weight, any Pareto optimal can be obtained. In this article, we prov...
In this paper, we consider the multiobjective linear programs where coefficients in the objective function belong to uncertainty sets. We introduce the concept of robust efficient solutions to uncertain multiobjective linear programming problems. By using two scalarization methods, the weighted sum method and the ϵ-constraint method, we obtain that the robust efficient solutions for uncertain m...
a concept of weak $f$-property for a set-valued mapping is introduced, and then under some suitable assumptions, which do not involve any information about the solution set, the lower semicontinuity of the solution mapping to the parametric set-valued vector equilibrium-like problems are derived by using a density result and scalarization method, where the constraint set $k$...
Dr Paulo Serafini is the Medical Director of Huntington Medicina Reprodutiva and a Professor of Gynecology at the University of São Paulo in Brazil. He graduated from and completed his obstetrics and gynecology residency at the University of Rio Grande do Sul, and completed a second residency in obstetrics, gynecology, and reproductive health at the University of Maryland, USA. Dr Serafini purs...
With contributions from: Maarten Menken, Heiner Stuckenschmidt, Holger Wache (Vrije Universiteit Amsterdam) Luciano Serafini (Centro per la Ricerca Scientifica e Tecnologica, Trento) Andrei Tamilin (Università degli Studi di Trento) Mustafa Jarrar (Vrije Universiteit Brussel) Fabio Porto (Ecole Polytechnique Fédérale de Lausanne) Christine Parent (Université de Lausanne) Alan Rector, Jeff Pan (...
Members A. ACCORSI, E. ADRARIO, F. AGRÒ, G. AMICUCCI, M. ANTONELLI, F. AZZERI, S. BARONCINI, G. BETTELLI, C. CAFAGGI, D. CATTANO, E. CHINELLI, U. CORBANESE, R. CORSO, A. DELLA PUPPA, A. DI FILIPPO, E. FACCO, R. FAVARO, R. FAVERO, G. FROVA, F. GIUNTA, G. GIURATI, F. GIUSTI, A. GUARINO, E. IANNUZZI, G. IVANI, D. MAZZON, M. MENARINI, G. MERLI, E. MONDELLO, S. MUTTINI, G. NARDI, A. PIGNA, G. PITTON...
RefeRences Yuling, H., Ruijing, X., Li, L., Xiang, J., Rui, Z., Yujuan, W., Lijun, Z., Chunxian, D., Xinti, T., Wei, X., Lang, C., Yanping, J., Tao, X., Mengjun, W., Jie, X., Youxin, J., and Jinquan, T. (2009). EBV-induced human CD8 NKT cells suppress tumorigenesis by EBV associated malignancies. Cancer Res. 69, 7935–7944. Serafini, B., Rosicarelli, B., Franciotta, D., Magliozzi, R., Reynolds, ...
Nonnegative Matrix Factorization (NMF) is an unsupervised learning method that has been already applied to many applications of spectral signal unmixing. However, its efficiency in some applications strongly depends on optimization algorithms used for estimating the underlying nonnegatively constrained subproblems. In this paper, we attempt to tackle the optimization tasks with the inexact Inte...
Author Affiliations:Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, Quebec, Canada (Bourassa, Dion, Rouleau); Group for AdvancedMolecular Investigation, Graduate Program in Health Sciences, School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná, Brazil (Raskin); Genetika–Centro de Aconselhamento e Laboratório de G...
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