Initialization methods for the TSP with Time Windows using Variable Neighborhood Search

Christos Papalitsas, Konstantinos Giannakis, T. Andronikos, Dimitrios Theotokis, Angelo Sifaleras
{"title":"Initialization methods for the TSP with Time Windows using Variable Neighborhood Search","authors":"Christos Papalitsas, Konstantinos Giannakis, T. Andronikos, Dimitrios Theotokis, Angelo Sifaleras","doi":"10.1109/IISA.2015.7388106","DOIUrl":null,"url":null,"abstract":"This paper presents a General Variable Search heuristic, trying to discover initial, feasible solution for the Travelling Salesman Problem with Time Windows. More specifically, we provide all relevant information regarding TSP-TW, Variable Neighborhood Search (VNS) and initialization methods, then we quote all related work in the direction on solving this NP-HARD problem, and at last we propose our new implementation for generating initial, feasible solution for the TSP-TW. We are thoroughly focused on the behavior of our main algorithm to different random-based or sorting-based initialization procedures of our main implemented algorithm. At last, we show experimentally that in some cases, the use of a sorting function as an initialization function in this algorithm did not work and never returned a feasible solution in some cases.","PeriodicalId":433872,"journal":{"name":"2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IISA.2015.7388106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

Abstract

This paper presents a General Variable Search heuristic, trying to discover initial, feasible solution for the Travelling Salesman Problem with Time Windows. More specifically, we provide all relevant information regarding TSP-TW, Variable Neighborhood Search (VNS) and initialization methods, then we quote all related work in the direction on solving this NP-HARD problem, and at last we propose our new implementation for generating initial, feasible solution for the TSP-TW. We are thoroughly focused on the behavior of our main algorithm to different random-based or sorting-based initialization procedures of our main implemented algorithm. At last, we show experimentally that in some cases, the use of a sorting function as an initialization function in this algorithm did not work and never returned a feasible solution in some cases.
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
基于可变邻域搜索的时间窗TSP初始化方法
本文提出了一种通用变量搜索启发式算法,试图找到带时间窗的旅行商问题的初始可行解。具体地说,我们提供了关于TSP-TW、可变邻域搜索(VNS)和初始化方法的所有相关信息,然后我们引用了解决该NP-HARD问题方向的所有相关工作,最后我们提出了我们的新实现,用于生成TSP-TW的初始可行解。我们完全专注于我们的主算法对我们的主要实现算法的不同基于随机或基于排序的初始化过程的行为。最后,我们通过实验证明,在某些情况下,在该算法中使用排序函数作为初始化函数不起作用,并且在某些情况下永远不会返回可行解。
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
A learning approach for strategic consumers in smart electricity markets On the construction of increasing-chord graphs on convex point sets A braided routing mechanism to reduce traffic load's local variance in wireless sensor networks Monitoring people with MCI: Deployment in a real scenario for low-budget smartphones MicroCAS: Design and implementation of proposed standards in micro-learning on mobile devices
×
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