Time-Windowed Vehicle Routing Problem: Tabu Search Algorithm Approach

IF 1.7 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2022-10-21 DOI:10.14201/adcaij.27533
Hasibe Berfu Demir, Ebru Pekel Özmen, Şakir Esnaf
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引用次数: 1

Abstract

Vehicle routing problem (VRP); it is defined as the problem of planning the best distribution or collection routes of the vehicles assigned to serve the scattered centers from one or more warehouses in order to meet the demands of the customers. Vehicle routing problem has been a kind of problem in which various studies have been done in recent years. Many vehicle routing problems include scheduling visits to customers who are available during certain time windows. These problems are known as vehicle routing problems with time windows (VRPTWs). In this study, a tabu search optimization is proposed for the solution of time window vehicle routing problem (VRPTWs). The results were compared with the current situation and the results were interpreted.
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时间窗车辆路径问题:禁忌搜索算法
车辆路径问题(VRP);它被定义为规划从一个或多个仓库分配到分散中心的车辆的最佳配送或收集路线的问题,以满足客户的需求。车辆路径问题是近年来研究较多的一类问题。许多车辆路线问题包括安排访问在特定时间窗口内可用的客户。这些问题被称为带时间窗的车辆路线问题(VRPTWs)。针对时间窗车辆路径问题,提出了一种禁忌搜索优化算法。将结果与现状进行了比较,并对结果进行了解释。
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
22
审稿时长
4 weeks
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