Combining worst case and average case considerations in an integrated emergency response network design problem
Year of publication: |
January-February 2018
|
---|---|
Authors: | Dalal, Jyotirmoy ; Üster, Halit |
Published in: |
Transportation science : a journal of the Institute for Operations Research and the Management Sciences. - Catonsville, MD : Transportation Science & Logistics Society of the Institute for Operations Research and the Management Sciences, ISSN 0041-1655, ZDB-ID 160958-0. - Vol. 52.2018, 1, p. 171-188
|
Subject: | emergency response networks | data uncertainty | robust optimization | stochastic optimization | Benders decomposition | GIS | Theorie | Theory | Dekompositionsverfahren | Decomposition method | Robustes Verfahren | Robust statistics | Mathematische Optimierung | Mathematical programming | Stochastischer Prozess | Stochastic process |
-
Robust stochastic models for profit-maximizing hub location problems
Taherkhani, Gita, (2021)
-
Robust stochastic facility location : sensitivity analysis and exact solution
Liu, Tianqi, (2022)
-
Keyvanshokooh, Esmaeil, (2016)
- More ...
-
Robust emergency relief supply planning for foreseen disasters under evacuation-side uncertainty
Dalal, Jyotirmoy, (2021)
-
Capacity planning for large scale people movement : Models and application to the Ujjain Kumbh Mela
Dalal, Jyotirmoy, (2021)
-
A strategic rural school-network rationalization problem
Kamal, Jai, (2021)
- More ...