Non-dominated sorting genetic algorithm-II for locating emergency bases to minimise mean and standard deviation of service time
by Hamid Reza Golmakani; Mahtab Eskandar
International Journal of Operational Research (IJOR), Vol. 42, No. 3, 2021

Abstract: Pre-hospital emergency is one of the most important issues in healthcare systems. One of the items that strongly influence the performance of emergency services is the location of emergency bases since the service time plays a key role in the success of an emergency mission. In this paper, a binary nonlinear programming model is proposed for locating emergency bases. The goal is to minimise the mean and standard deviation of emergency service time while satisfying the relevant constraints. To cope with the computational complexity in obtaining optimal solutions, non-dominated sorting genetic algorithm (NSGA-II) is proposed. The proposed NSGA-II approach is applied for locating emergency bases in a part of Tehran metropolis and non-dominated solutions are presented. Sensitivity analysis on the available budget is also presented.

Online publication date: Fri, 03-Dec-2021

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