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

Authors: Fuyu Wang; Jiawen Fan; Mengkai Chen; Haoxuan Xie; Juma Nzige; Weining Li

Addresses: School of Management Science and Engineering, Anhui University of Technology, Ma'anshan, Anhui, China ' School of Management Science and Engineering, Anhui University of Technology, Ma'anshan, Anhui, China ' School of Management Science and Real Estate, Chongqing University, Chongqing, China ' School of Management Science and Engineering, Anhui University of Technology, Ma'anshan, Anhui, China ' Water Institute, Sam Nujoma Rd, University Road, Ubungo, Dar es Salaam, Tanzania ' School of Management Science and Engineering, Anhui University of Technology, Ma'anshan, Anhui, China

Abstract: 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.

Keywords: emergency rescue; vehicle route optimisation; surgical scheduling; bionics optimisation algorithm.

DOI: 10.1504/IJBIC.2023.134973

International Journal of Bio-Inspired Computation, 2023 Vol.22 No.2, pp.117 - 127

Received: 30 Dec 2021
Accepted: 26 Dec 2022
Published online: 22 Nov 2023 *

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