Reliable design of a congested disaster relief network : a two-stage stochastic-robust optimization approach
Year of publication: |
2023
|
---|---|
Authors: | Pouraliakbari-Mamaghani, Mahsa ; Saif, Ahmed ; Kamal, Noreen |
Published in: |
Socio-economic planning sciences : the international journal of public sector decision-making. - Amsterdam [u.a.] : Elsevier, ISSN 0038-0121, ZDB-ID 208905-1. - Vol. 86.2023, p. 1-17
|
Subject: | Column-and-constraint generation | Congestion | Disaster relief | Network design | Reliability | Stochastic-robust optimization | Humanitäre Hilfe | Humanitarian aid | Engpass | Bottleneck | Katastrophe | Disaster | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Verkehrsstau | Traffic congestion | Netzwerk | Network | Lieferkette | Supply chain |
-
The congested multicommodity network design problem
Paraskevopoulos, Dimitreis C., (2016)
-
An integrated network design and scheduling problem for network recovery and emergency response
Iloglu, Suzan, (2018)
-
Ni, Wenjun, (2018)
- More ...
-
A simulation-optimization framework for optimizing response strategies to epidemics
Gillis, Melissa, (2021)
-
Pouraliakbari-Mamaghani, Mahsa, (2022)
-
A double-oracle, logic-based Benders decomposition approach to solve the K-adaptability problem
Ghahtarani, Alireza, (2023)
- More ...