A metaheuristic method for solving an emergency problem

Salma Makboul and Ahmed El Hilali Alaoui

International Journal of Logistics Systems and Management, 2022, vol. 41, issue 1/2, 29-58

Abstract: Disasters often generate a high degree of material and human damage. Generally, human and material resources are limited in hospitals and are ineffective in dealing with such a situation due to the number of important patients. During disasters, the hospital must ensure normal service and in addition receive several victims. Therefore, the medical infrastructure should optimally use its emergency resources. The main objective of this paper is to propose a white plan. To do this, we propose a multi-objective model to optimise the human and material resources in an emergency situation and to operate on patients as soon as possible. Since our problem is multi-objective, the non-dominated genetic algorithm NSGA-II is adapted to solve the large instances. A statistical analysis is performed using some measurements metrics to evaluate and validate the obtained Pareto solutions. The results are analysed and commented on to point out the efficiency of the resolution method.

Keywords: disasters management; NSGA-II; scheduling; multi-objective optimisation; mixed integer programming. (search for similar items in EconPapers)
Date: 2022
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