A dynamic dispatching problem to allocate relief vehicles after a disaster. Issue 11 (2nd November 2021)

• Record Type: Journal Article
• Authors: Gharib, Mehrdad; Fatemi Ghomi, Seyyed Mohammad Taghi; Jolai, Fariborz
• Is Part Of: Engineering optimization. Volume 53:Issue 11(2021)
• Page Start: 1999
• Page End: 2016
• Publication Date: 2021-11-02
• Subjects: Disaster -- emergency medical services -- ε-constraint method -- non-dominated sorting genetic algorithm -- multi-objective imperialist competitive algorithm; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2020.1843164
• Languages: English
• ISSNs: 0305-215X

Abstract

Abstract : This article proposes a deterministic model for a post-disaster scenario in an urban emergency medical services system to allocate the emergency vehicles to the patients and transfer them to the hospital. To solve the model, an exact approach called the -constraint method is applied to the problem. Since this problem belongs to the class of NP-hard problems, two metaheuristic algorithms, namely the non-dominated sorting genetic algorithm-II (NSGA-II) and the multi-objective imperialist competitive algorithm (MOICA), are applied to large-scale problems. The performance of the algorithms is evaluated using computational experiments. Finally, the model is applied in a real-life case study for an expected earthquake in Iran and several managerial insights are extracted.