A Random Restart Local Search Matheuristic for the Flying Sidekick Traveling Salesman Problem

M. dell’Amico, R. Montemanni, Stefano Novellani
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引用次数: 4

Abstract

Drones and unmanned vehicles in general are gaining more and more interest in the logistic sector, due to the potential economic advantages they can provide. In this paper we focus on optimizing the use of a drone in conjunction with a truck for urban deliveries, dealing with what is called the flying sidekick traveling salesman problem. There is a set of customers that it is possible to serve either by a truck or by a drone. The target is to minimize the total time required to complete deliveries to all the customers. In this paper we show how an effective and simple random restart local search heuristic algorithm can be derived from a known mixed integer programming model for the problem.
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飞伙伴旅行商问题的随机重新启动局部搜索数学
由于无人机和无人驾驶车辆可以提供潜在的经济优势,它们在物流领域越来越受到关注。在本文中,我们将重点放在优化无人机与卡车在城市配送中的使用上,处理所谓的飞行伙伴旅行推销员问题。有一组客户可以通过卡车或无人机来服务。我们的目标是尽量减少完成向所有客户交付所需的总时间。本文从已知的混合整数规划模型出发,给出了一种有效且简单的随机重启局部搜索启发式算法。
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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