A multi-objective stochastic programming model for post-disaster management

This paper develops a mathematical model for post-disaster planning with human casualties, which can be considered as operational guidance for the proper use of emergency resources. For this purpose, a stochastic mixed-integer programming model is provided to formulate the problem. The objective fun...

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Vydáno v:	Transportmetrica (Abingdon, Oxfordshire, UK) Ročník 18; číslo 3; s. 1103 - 1126
Hlavní autoři:	Gharib, Mehrdad, Fatemi Ghomi, Seyyed Mohammad Taghi, Jolai, Fariborz
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Abingdon Taylor & Francis 02.12.2022 Taylor & Francis Ltd
Témata:	Algorithms Casualties Completion time Disaster management Earthquakes Emergency medical services Emergency procedures Genetic algorithms Heuristic methods Integer programming Mathematical analysis Mathematical programming Mixed integer multi-objective multi-objective simulated annealing non-dominated sorting genetic algorithm Simulated annealing Sorting algorithms Stochastic models Stochastic programming ϵ-constraint method Iran
ISSN:	2324-9935, 2324-9943
On-line přístup:	Získat plný text
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