Conference Proceedings

An optimized multi agent-based modeling of smart rescue operation

S Azimi, MR Delavar, A Rajabifard

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences | Published : 2018

Abstract

Abstract. After the incidence of a disaster, a high demand for first-aid and a huge number of injured will emerge at the affected areas. In this paper, the optimum allocation of the medical assistance to the injured according to a multi-criteria decision making is performed by Multiplicatively Weighted Network Voronoi Diagram (MWNVD). For consideration of the allocation of the injured in the affected area to the appropriate hospitals using the MWNVD and decreasing the gap between the estimated and expected population in the MWNVDs, Particle Swarm Optimization (PSO) is applied to the MWNVDs. This paper proposes a multi agent-based modeling for incorporating the allocation of the medical suppl..

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University of Melbourne Researchers