车辆路径与调度问题(Vehicle routing and scheduling problem,VRSP)是制造系统自动化和商业服务系统优化调度要解决的重要问题,常常以路径最短或成本(时间)最小为优化目标.在强制性碳排放政策的影响下,如何通过路径优化与调度实现系统...车辆路径与调度问题(Vehicle routing and scheduling problem,VRSP)是制造系统自动化和商业服务系统优化调度要解决的重要问题,常常以路径最短或成本(时间)最小为优化目标.在强制性碳排放政策的影响下,如何通过路径优化与调度实现系统的节能减排,已经成为管理者一个优化控制的目标.本文建立了针对接送机场服务中以最小碳排放量为目标的车次分配与调度问题的0-1混合整数规划模型,采用了改进的基于时间和地域划分的极线扫描算法.重点通过不同类型、规模测试实例,分别从测试实例的顾客点位置分布、顾客规模以及车辆容量大小、满意度水平分析了对人均碳排放的影响程度,对现实接送机场服务运作中车辆配置和设置服务水平提供了有价值的建议.展开更多
Batteries transfer management is one important aspect in electric vehicle(EV)network's intelligent operation management system.Batteries transfer is a special and much more complex VRP(Vehicle Routing Problem) whi...Batteries transfer management is one important aspect in electric vehicle(EV)network's intelligent operation management system.Batteries transfer is a special and much more complex VRP(Vehicle Routing Problem) which takes the multiple constraints such as dynamic multi-depots,time windows,simultaneous pickups and deliveries,distance minimization,etc.into account.We call it VRPEVB(VRP with EV Batteries).This paper,based on the intelligent management model of EV's battery power,puts forward a battery transfer algorithm for the EV network which considers the traffic congestion that changes dynamically and uses improved Ant Colony Optimization.By setting a reasonable tabv range,special update rules of the pheromone and path list memory functions,the algorithm can have a better convergence,and its feasibility is proved by the experiment in an EV's demonstration operation system.展开更多
文摘车辆路径与调度问题(Vehicle routing and scheduling problem,VRSP)是制造系统自动化和商业服务系统优化调度要解决的重要问题,常常以路径最短或成本(时间)最小为优化目标.在强制性碳排放政策的影响下,如何通过路径优化与调度实现系统的节能减排,已经成为管理者一个优化控制的目标.本文建立了针对接送机场服务中以最小碳排放量为目标的车次分配与调度问题的0-1混合整数规划模型,采用了改进的基于时间和地域划分的极线扫描算法.重点通过不同类型、规模测试实例,分别从测试实例的顾客点位置分布、顾客规模以及车辆容量大小、满意度水平分析了对人均碳排放的影响程度,对现实接送机场服务运作中车辆配置和设置服务水平提供了有价值的建议.
基金supported by the 973 Program under Grant No.2011CB302506, 2012CB315802National Key Technology Research and Development Program of China under Grant No.2012BAH94F02+5 种基金The 863 Program under Grant No.2013AA102301NNSF of China under Grant No.61132001, 61170273Program for New Century Excel-lent Talents in University under Grant No. NCET-11-0592Project of New Generation Broad band Wireless Network under Grant No.2014ZX03006003The Technology Development and Experiment of Innovative Network Architecture(CNGI-12-03-007)The Open Fund Project of CAAC InformationTechnology Research Base(CAACITRB-201201)
文摘Batteries transfer management is one important aspect in electric vehicle(EV)network's intelligent operation management system.Batteries transfer is a special and much more complex VRP(Vehicle Routing Problem) which takes the multiple constraints such as dynamic multi-depots,time windows,simultaneous pickups and deliveries,distance minimization,etc.into account.We call it VRPEVB(VRP with EV Batteries).This paper,based on the intelligent management model of EV's battery power,puts forward a battery transfer algorithm for the EV network which considers the traffic congestion that changes dynamically and uses improved Ant Colony Optimization.By setting a reasonable tabv range,special update rules of the pheromone and path list memory functions,the algorithm can have a better convergence,and its feasibility is proved by the experiment in an EV's demonstration operation system.