Bare-Bones Particle Swarm Optimization for Emergency Scheduling in Public Events

Efficient scheduling of emergency resources is of great practical significance to ensure the smooth progress of large-scale events and maintain public safety.Therefore, this paper, firstly, proposes a novel emergency rescue system after public emergencies in large-scale sports events.In order to allocate resources, this paper establishes a single-objective model that minimizes the maximum delivery time (the injured waiting in place and being transported to the hospital) on the basis of considering the rescue effect.This paper proposes an improved bare-bones particle swarm optimization algorithm (IBBPSO) to solve the model.Through case analysis, it is found that compared with the bare-bones particle swarm optimization algorithm (BBPSO) and RBBPSO, the average optimization effect of IBBPSO is 62 % higher than that of RBBPSO and 23 % higher than that of BBPSO.IBBPSO has better performance in solving the resource allocation problem proposed in this paper.