文献类型：期刊文献

英文题名：Vehicle Scheduling Optimization Based on Chaos Ant Colony Algorithm in Emergency Rescue

作者：Liu, Lingxia[1];Gao, Xuexia[2];Song, Qiang[3]

第一作者：Liu, Lingxia

通讯作者：Liu, LX[1];Song, Q[2]

机构：[1]Anyang Normal Univ, Sch Software Engn, Anyang 455000, Peoples R China;[2]Xinxiang Univ, Comp Sch, Xinxiang 453000, Peoples R China;[3]Anyang Inst Technol, Comp Sch, Anyang 455000, Peoples R China

第一机构：Anyang Normal Univ, Sch Software Engn, Anyang 455000, Peoples R China

通讯机构：[1]corresponding author), Anyang Normal Univ, Sch Software Engn, Anyang 455000, Peoples R China;[2]corresponding author), Anyang Inst Technol, Comp Sch, Anyang 455000, Peoples R China.

年份：2016

卷号：10

期号：2

起止页码：63-74

外文期刊名：INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS

收录：EI(收录号：20161102082084);Scopus(收录号：2-s2.0-84960091074);WOS:【ESCI(收录号:WOS:000376639900006)】；

语种：英文

外文关键词：Emergency; vehicle scheduling; chaos; ant colony system

摘要：Aiming to the demand and characteristics of vehicle scheduling optimization problem in emergency rescue, this paper establishes a multi-objective optimization model, which takes minimizing variable bidirectional distance, path risk and cost as the optimization target. To avoid the prematurely falling into local optimization of ant colony system(ACS) algorithm, and to improve the algorithm adaptability, computational efficiency and the quality of optimal solution, this paper proposed and realized a chaos-based improved ant colony system algorithm, which can overall updates the chaos disturbance to pheromone. Simulation results show that the algorithm is feasible, which can well meet the demand of vehicle scheduling optimization in emergency rescue.