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A multi-objective combinatorial model of casualty processing in major incident response

Wilson, Duncan, Hawe, Glenn, Coates, Graham and Crouch, Roger (2013) A multi-objective combinatorial model of casualty processing in major incident response. European Journal of Operational Research, 230 (3). pp. 643-655. [Journal article]

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URL: http://www.sciencedirect.com/science/article/pii/S0377221713003548

DOI: 10.1016/j.ejor.2013.04.040

Abstract

During the emergency response to mass casualty incidents decisions relating to the extrication, treatment and transporting of casualties are made in a real-time, sequential manner. In this paper we describe a novel combinatorial optimization model of this problem which acknowledges its temporal nature by employing a scheduling approach. The model is of a multi-objective nature, utilizing a lexicographic view to combine objectives in a manner which capitalizes on their natural ordering of priority. The model includes pertinent details regarding the stochastic nature of casualty health, the spatial nature of multi-site emergencies and the dynamic capacity of hospitals. A Variable Neighborhood Descent metaheuristic is employed in order to solve the model. The model is evaluated over a range of potential problems, with results confirming its effective and robust nature.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:27263
Deposited By: Dr Glenn Hawe
Deposited On:27 Sep 2013 08:36
Last Modified:07 Apr 2014 08:47

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