Research Article
A Novel HPSO-IGWO Algorithm for Rapidly Searching Optimal Fire Rescue Paths Based on IoT Architecture
@INPROCEEDINGS{10.1007/978-3-031-70507-6_21, author={Yifan Xu and Xinpeng Wang and Xiaode Chen and Jin Zheng and Xin Xiong and Xi Hu}, title={A Novel HPSO-IGWO Algorithm for Rapidly Searching Optimal Fire Rescue Paths Based on IoT Architecture}, proceedings={IoT as a Service. 9th EAI International Conference, IoTaaS 2023, Nanjing, China, October 27-29, 2023, Proceedings}, proceedings_a={IOTAAS}, year={2024}, month={10}, keywords={Fire rescue paths Particle Swarm Optimization (PSO) Grey Wolf Optimizer (GWO)}, doi={10.1007/978-3-031-70507-6_21} }- Yifan Xu
Xinpeng Wang
Xiaode Chen
Jin Zheng
Xin Xiong
Xi Hu
Year: 2024
A Novel HPSO-IGWO Algorithm for Rapidly Searching Optimal Fire Rescue Paths Based on IoT Architecture
IOTAAS
Springer
DOI: 10.1007/978-3-031-70507-6_21
Abstract
It is essential to choose the best fire rescue paths in the fire. By taking the advantage of both the Particle Swarm Optimization (PSO) algorithm and the Grey Wolf Optimizer (GWO) algorithm, a novel Hybrid PSO-Improved GWO (HPSO-IGWO) algorithm for rapidly searching fire rescue paths based on the IoT architecture. Firstly, hybrid particles based on the PSO algorithm and the GWO algorithm are proposed to make the process optimization of these two algorithms. Secondly, the hybrid particles are utilized to search for the optimal fire rescue paths. This not only provides a decision basis for choosing the optimal rescue path in the fire, but also provides theoretical support for the emergency rescue system, and greatly reduces the number of fire casualties. Finally, the experiment is executed for verifying the effectiveness of our proposed HPSO-GWO algorithm.
