摘要
为进一步提高汽车危化品材料运输应急调度的时效性和安全性,针对路况这一变化的因素对调度方案的影响,提出了一种基于改进智能算法的应急调度策略及平台。对平台的总体框架硬件和软件进行设计,对鲸鱼群算法进行改进,从而使得汽车危化品运输中能充分考虑路况变化带来的危害影响。仿真结果表明,在解算相同问题时,与目前常使用的蚁群系统(ACS)、自适应混沌遗传算法(ACGA)相比,改进的分组移动鲸鱼群算法求解的最优解运输距离更小,且在节点数越多,算法的效果更好,保证了调度方案的高效性。
In order to further improve the timeliness and safety of emergency scheduling for the transportation of hazardous chemical materials in automobiles,and to address the impact of changing road conditions on the scheduling plan,an emergency scheduling strategy and platform based on improved intelligent algorithms are proposed.The overall framework hardware and software of the platform were designed,and the whale swarm algorithm was improved,thus making it possible to fully take into account the hazardous effects of the changing road conditions in the transportation of automobile hazardous materials.Simulation results showed that when solving the same problem,compared with the commonly used ant colony system(ACS) and adaptive chaotic genetic algorithm(ACGA),the optimal solution of the improved group-mobile whale swarm algorithm was smaller in transportation distance,and the more the number of nodes,the better the algorithm was,which ensured the high efficiency of the scheduling program.
作者
王爽
梁娜
刘庆军
安绘春
WANG Shuang;LIANG Na;LIU Qingjun;AN Huichun(Tongchuan vocational and technical college,Tongchuan 727031,Shaanxi China;Shaanxi University of Science&Technology,Xi’an 710016,China)
出处
《粘接》
CAS
2023年第10期79-82,共4页
Adhesion
基金
陕西省教育厅2021年度一般专项科研计划项目(项目编号:21JK0118)。
关键词
智能算法
应急调度问题
材料运输
调度方案
胶粘材料
intelligent algorithms
emergency scheduling issues
material transportation
scheduling plan
adhesive material
作者简介
王爽(1987-),女,硕士,讲师,研究方向:汽车技术、通信与软件技术,E-mail:438896158@qq.com;通讯作者:安绘春(1979-),女,讲师,研究方向:化工及化学教育,E-mail:1161970118@qq.com。
