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基于蚁群算法的石化项目应急路径规划研究
引用本文:叶继红,黄长生.基于蚁群算法的石化项目应急路径规划研究[J].工业安全与环保,2012,38(9):63-65.
作者姓名:叶继红  黄长生
作者单位:1. 浙江海洋学院石油化工学院 浙江舟山316004;中国地质大学工程学院 武汉430074
2. 武汉地质调查中心 武汉430205
摘    要:蚁群算法是一种智能仿生优化算法,实际运用仿真模拟时具有良好的寻优性和高效性。将蚁群算法与石化项目的路径规划结合,借鉴蚁群算法解决旅行商问题TSP的思路并将之运用于应急路径规划,利用MATLAB仿真软件,以某石化项目的应急路径规划为实例,较好地实现了有关应急路径模拟图,可为有关石化项目的安全规划提供借鉴和参考。

关 键 词:蚁群算法  石化项目  应急路径  安全规划  仿真模拟

Research on the Emergency Path Plan of Petrochemical Projects Based on Ant Colony Algorithm
YE Jihong , HUANG Changsheng.Research on the Emergency Path Plan of Petrochemical Projects Based on Ant Colony Algorithm[J].Industrial Safety and Dust Control,2012,38(9):63-65.
Authors:YE Jihong  HUANG Changsheng
Institution:1.Petrochemical College of Zhejiang Ocean University Zhoushan,Zhejiang 316004)
Abstract:Ant colony algorithm is a kind of intelligent bionic optimization algorithm and it has the characteristics of high efficiency and optimization in practical application of analog simulation.In this paper the ant colony algorithm is integrated with the emergency path plan of petrochemical projects,in which the idea it solves traveling salesman problem(TSP) is applied in emergency path planning;by using simulation software MATLAB,taking the emergency path planning of one petrochemical project as the case,the simulation diagram is well realized,which can provide a reference for safety plan of petrochemical projects.
Keywords:ant colony algorithm petrochemical projects emergency path safety plan analog simulation
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