A novel HPSO-IGWO algorithm for rapidly searching optimal fire rescue paths based on IoT architecture

Currently, Fires have a serious impact on people's safety and property in the world. Therefore, how to select suitable optimal fire rescue routes is a crucial issue that attack researches’ attention during a fire. A brand-new hybrid PSO-improved GWO algorithm, the purpose of which is to quickly identify the route of fire rescue., which takes advantages of meta-heuristic algorithms, including Particle Swarm Optimization algorithm and Grey Wolf Optimizer algorithm. Firstly, abundant hybrid particles the PSO and the GWO are analyzed to optimize the algorithm parameters for further processing. Secondly, these particles are employed to locate the better effective fire rescue routes, which is a significant step for better selecting the optimal rescue path and reducing the number of casualties in fires. Finally, experiments are conducted to validate the efficacy of the proposed HPSO-IGWO algorithm.