摘要
紧急疏散是舰船在遇到突发性事件时第一时间执行的应急方案,为减少突发性事件中的人员伤亡事故,必须对紧急疏散路径进行科学规划,以保证在最短的时间内全部疏散舱内人员。本文分析人工智能优化算法中的人工蜂群算法与粒子群算法,提出粒子群算法在紧急疏散路径规划中的应用,并揭示该算法的应用缺陷,在此基础上提出改进后的人工蜂群算法用于紧急疏散路径规划,经过仿真实验证实人工蜂群算法的收敛速度快,能够快速疏散人员。
Emergency evacuation is an emergency plan executed by the ship when encountering an emergency.In order to reduce casualties in an emergency,the emergency evacuation route must be scientifically planned to ensure the shortest time All personnel in the cabin were evacuated.This paper analyzes the artificial bee colony algorithm and particle swarm algorithm in the artificial intelligence optimization algorithm,and proposes the application of particle swarm algorithm in emergency evacuation path planning,and reveals the application defects of the algorithm.On this basis,an improved artificial bee colony algorithm is proposed.The swarm algorithm is used for emergency evacuation route planning.Simulation experiments have proved that the artificial bee swarm algorithm has fast convergence speed and can quickly evacuate people.
作者
杨光辉
YANG Guang-hui(College of Sciences,North China University of Science and Technology,Tangshan 063210,China)
出处
《舰船科学技术》
北大核心
2021年第8期52-54,共3页
Ship Science and Technology
基金
华北理工大学校内立项科研项目(0088/28415399)
关键词
人工智能优化算法
大型舰船
紧急疏散
artificial intelligence optimization algorithm
large ships
emergency evacuation
作者简介
杨光辉(1982-),男,博士,讲师,研究方向为数据库、数据挖掘、知识发现及模式识别与图像处理。
