Approximate dynamic programming for network recovery problems with stochastic demand

Immediately after a disruption, in order to minimize the negative impact inflicted on the society, its imperative to re-establish the interdicted critical services enabled by the infrastructure networks. In this paper, we study the stochastic network recovery problem that tackles the planning of res...

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Vydané v:	Transportation research. Part E, Logistics and transportation review Ročník 151; s. 102358
Hlavní autori:	Ulusan, Aybike, Ergun, Özlem
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.07.2021
Predmet:	Approximate dynamic programming Demand uncertainty Network recovery problem Post-disaster response Stochastic networks Approximate dynamic programming Network recovery problem Post-disaster response Stochastic networks Demand uncertainty
ISSN:	1366-5545, 1878-5794
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