Research on a bionic swarm intelligence algorithm and model construction of the integrated dispatching system for the rescue of disaster victims

Most of the existing emergency rescue studies focus on the shortest rescue path rather than the shortest time within a reasonable rescue path, and it is only a simple resource sequencing in surgical scheduling. In this paper, casualty emergency rescue vehicle scheduling and operation scheduling are considered to be complex integrated systems. In the early stage of integration, the single side fuzzy time window model of the casualty emergency rescue vehicle is constructed according to the feature. At later stage, considering the learning-forgetting effect of physician, the mathematical model of flexible flow scheduling in the operation process of the wounded was established. This paper applies the multi-population thought to improve the basic firefly algorithm. The simulation results show that the proposed model and algorithm effectively solve the scheduling problem of the complex system of casualty rescue after disaster, which is helpful for improving the operation management system of disaster relief.