食品配送服务的最优订单集和快递路径

Jin-Young Yang, Haengju Lee
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引用次数: 0

摘要

本文研究在有限的交货时间内,如何确定最优的订单选择和快递路线以实现利润最大化的问题。为了解决这一问题,提出了混合整数规划模型。由于本研究问题类似于旅行推销员问题(TSP),因此被认为是np困难(非确定性多项式时间困难)问题。因此,寻找最优解的时间随着订单数量的增加呈指数增长。为了处理这种复杂性,我们开发了三种启发式算法,可用于解决现实世界的问题。通过各种数值实验,我们证明了所开发的算法性能良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Optimal Set of Orders and Courier Path for Food Delivery Services
This study deals with the problem of determining the optimal order selection and courier route to maximize the profit for a limited delivery time. The mixed integer programming model is developed to solve this issue. Since this research problem is similar to the travelling salesman problem (TSP), it is considered an NP-hard (non-deterministic polynomial-time hard) problem. Hence, the time to find the optimal solution increases exponentially as the number of orders increases. To deal with this complexity, we develop three types of heuristic algorithms that can be used to solve real-world problems. Through various numerical experiments, we show that the developed algorithms perform well.
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