Capacitated Vehicle Routing Problems: Nearest Neighbour vs. Tabu Search

I. Masudin, Risma F. Sa’diyah, D. M. Utama, D. Restuputri, F. Jie
{"title":"Capacitated Vehicle Routing Problems: Nearest Neighbour vs. Tabu Search","authors":"I. Masudin, Risma F. Sa’diyah, D. M. Utama, D. Restuputri, F. Jie","doi":"10.7763/ijcte.2019.v11.1246","DOIUrl":null,"url":null,"abstract":"The purpose of the Vehicle Routing Problem is to obtain a vehicle route with a minimum mileage in meeting customer demand according to their respective locations. One variant of the Vehicle Routing Problem (VRP) is the Capacitated Vehicle Routing Problem (CVRP), namely VRP with vehicle capacity constraints. Problems with Capacitated Vehicle Routing Problems (CVRP), can be solved by using the nearest neighbour and Tabu Search Algorithm. The step to complete the Tabu Search Algorithm begins with the determination of the initial solution using Nearest Neighbour, determining alternative solutions with exchange, namely to move two points in the solution, evaluate alternative solutions with Tabu list, choose the best solution and set the optimum solution, update tabu list, then if the discharge criteria are met then the process stops and if not, then returns to the determination of alternative solutions. Based on the results of calculations using the Tabu Search Algorithm, the traveling distance is less about 10.01% than the nearest neighbor.","PeriodicalId":306280,"journal":{"name":"International Journal of Computer Theory and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Theory and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7763/ijcte.2019.v11.1246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

The purpose of the Vehicle Routing Problem is to obtain a vehicle route with a minimum mileage in meeting customer demand according to their respective locations. One variant of the Vehicle Routing Problem (VRP) is the Capacitated Vehicle Routing Problem (CVRP), namely VRP with vehicle capacity constraints. Problems with Capacitated Vehicle Routing Problems (CVRP), can be solved by using the nearest neighbour and Tabu Search Algorithm. The step to complete the Tabu Search Algorithm begins with the determination of the initial solution using Nearest Neighbour, determining alternative solutions with exchange, namely to move two points in the solution, evaluate alternative solutions with Tabu list, choose the best solution and set the optimum solution, update tabu list, then if the discharge criteria are met then the process stops and if not, then returns to the determination of alternative solutions. Based on the results of calculations using the Tabu Search Algorithm, the traveling distance is less about 10.01% than the nearest neighbor.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
有能力车辆路径问题:最近邻与禁忌搜索
车辆路线问题的目的是根据客户各自的位置,获得满足客户需求的最小行驶里程的车辆路线。车辆路线问题(VRP)的一种变体是有能力车辆路线问题(CVRP),即有车辆容量约束的车辆路线问题。有能力车辆路径问题(CVRP)可以用最近邻算法和禁忌搜索算法来解决。完成禁忌搜索算法的步骤是从使用最近邻确定初始解开始,通过交换确定备选解,即在解中移动两个点,使用禁忌列表评估备选解,选择最佳解并设置最优解,更新禁忌列表,然后如果满足排放标准则停止进程,如果不满足则返回到确定备选解。根据禁忌搜索算法的计算结果,移动距离比最近的邻居少10.01%左右。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The Tourist Attractions Recommender System for Bangkok Thailand Gnutella-Based P2P Applications for SDN over TWDM-PON Architecture Capacitated Vehicle Routing Problems: Nearest Neighbour vs. Tabu Search An Overview of Cycle-Accurate, Event-Driven and Full Systems Simulators for Chip-Multiprocessors Analysis of User Experience (UX) on Health-Tracker Mobile Apps
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1