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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Bibliographic Details
Published in:	Transportmetrica (Abingdon, Oxfordshire, UK) Vol. 18; no. 3; pp. 1103 - 1126
Main Authors:	Gharib, Mehrdad, Fatemi Ghomi, Seyyed Mohammad Taghi, Jolai, Fariborz
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 02.12.2022 Taylor & Francis Ltd
Subjects:	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
Online Access:	Get full text
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