Bare-bones particle swarm optimization for emergency scheduling in public eventsZhang, H. K. (Avtor) Zheng, Q. M. (Avtor) Yang, S. (Avtor) Ojsteršek, Robert (Avtor) emergency rescue systemrescue effectBare-Bones particle swarm optimizationemergency medical resource schedulingEfficient 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 barebones 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.DAAAM International Vienna20252025-07-02 13:58:55Članek v reviji93566UDK: 519.6:658.5COBISS_ID: 241090819DOI: 10.2507/IJSIMM24-2-726ISSN pri članku: 1726-4529sl