Multi-ant colonies algorithms for the VRPSPDTW

L. Boubahri, S. Addouche, A. E. Mhamedi
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引用次数: 13

Abstract

The vehicle routing problem with simultaneous pickups and deliveries and time windows (VRP-SPDTW) is the problem of optimally integrating forward (good distribution) and reverse logistics (returning materials) for cost saving and environmental protection. We constructed a general mixed integer programming model of VRP-SPDTW. We present an Improved Ant Colony System (ACS) for the VRPSPDTW (Vehicle Routing Problem with Simultaneous Pick-up and Delivery with Time Windows). We submit adaptations and additions to the different solutions for VRPSPDTW. The real treated problem is to minimize the number of bus fleet that have to serve several schools (stations) for pick-up and delivery of different groups of students at different time windows. In detail, this problem is particularly complex. The significant improvement is to take into account the individual time windows, the time of service in each station and the preference function related to operation type at each served station.
VRPSPDTW的多蚁群算法
同时取货、发货和时间窗口的车辆路径问题(VRP-SPDTW)是为了节约成本和保护环境而优化整合正向(良好配送)和反向物流(退货)的问题。构造了VRP-SPDTW的一般混合整数规划模型。提出了一种改进的蚁群系统(ACS),用于求解带时间窗的同时取货和交货车辆路径问题。我们提交了针对VRPSPDTW的不同解决方案的调整和补充。真正要解决的问题是尽量减少巴士车队的数量,这些车队必须服务于几个学校(站),以便在不同的时间窗口接送不同的学生群体。具体来说,这个问题特别复杂。显著的改进是考虑了个体时间窗口、每个服务站的服务时间以及与每个服务站的操作类型相关的偏好函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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