Cargando…
A Two-Stage Location Problem with Order Solved Using a Lagrangian Algorithm and Stochastic Programming for a Potential Use in COVID-19 Vaccination Based on Sensor-Related Data
Healthcare service centers must be sited in strategic locations that meet the immediate needs of patients. The current situation due to the COVID-19 pandemic makes this problem particularly relevant. Assume that each center corresponds to an assigned place for vaccination and that each center uses o...
Autores principales: | Cabezas, Xavier, García, Sergio, Martin-Barreiro, Carlos, Delgado, Erwin, Leiva, Víctor |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401739/ https://www.ncbi.nlm.nih.gov/pubmed/34450794 http://dx.doi.org/10.3390/s21165352 |
Ejemplares similares
-
Solved Problems in Lagrangian and Hamiltonian Mechanics
por: Gignoux, Claude, et al.
Publicado: (2009) -
A New Two-Stage Algorithm for Solving Optimization Problems
por: Doumari, Sajjad Amiri, et al.
Publicado: (2021) -
Drawer Algorithm: A New Metaheuristic Approach for Solving Optimization Problems in Engineering
por: Trojovská, Eva, et al.
Publicado: (2023) -
A new model for solving stochastic second-order cone complementarity problem and its convergence analysis
por: Luo, Meiju, et al.
Publicado: (2018) -
Smoothing sample average approximation method for solving stochastic second-order-cone complementarity problems
por: Luo, Meiju, et al.
Publicado: (2018)