安徽大学学报（自然科学版）2024，Vol.48Issue(3)：68-74,7.DOI:10.3969/j.issn.1000-2162.2024.03.010
基于遗传算法的飞机垃圾车计划恢复模型
Aircraft garbage truck planning recovery model based on the genetic algorithm
摘要
Abstract
The use of manual experience in the dispatch of ground support vehicles makes it difficult to ensure the proper dispatch of ground vehicles in the event of unforeseen circumstances,which leads to collective delays in flights and wastage of ground support vehicle resources.A planning recovery model was constructed aiming at the aforementioned problems of airport garbage truck scheduling,with the objective function of minimizing the total cost of aircraft garbage truck scheduling under hard time window limitations and multiple constraints.The analysis result of the example showed that compared with the manual recovery scheduling cost,a 46.44%saving in scheduling cost was achieved by the planning recovery model proposed in this paper.Therefore,the feasibility of the planning recovery model was demonstrated.关键词
车辆调度/时间窗/计划恢复/遗传算法/成本最优Key words
vehicle scheduling/time window/planning recovery/genetic algorithm/cost optimization分类
信息技术与安全科学引用本文复制引用
史浩祥,易奎,牟奇锋..基于遗传算法的飞机垃圾车计划恢复模型[J].安徽大学学报（自然科学版）,2024,48(3):68-74,7.基金项目
国家重点研发计划项目(2021YFB1600500) （2021YFB1600500）
四川省科技计划项目(2022JDRC0077) （2022JDRC0077）
