Clustering-Based Optimisation of Multiple Traveling Salesman Problem

A. Agárdi, L. Kovács
{"title":"Clustering-Based Optimisation of Multiple Traveling Salesman Problem","authors":"A. Agárdi, L. Kovács","doi":"10.32968/psaie.2019.006","DOIUrl":null,"url":null,"abstract":"The TSP is the problem to find the shortest path in a graph visiting every nodes exactly once and returning to the start node. The TSP is shown to be an NP-hard problem. To provide an acceptable solution for real life problems, the TSP are usually solved with some heuristic optimization algorithms. The paper proposes a clustering-based .problem decomposition algorithm to form the global route with merging of best local routes. Based on our test results, The proposed method can improve the efficiency of the standard heuristic methods for the TSP and MTSP problems.","PeriodicalId":117509,"journal":{"name":"Production Systems and Information Engineering","volume":"348 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Production Systems and Information Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32968/psaie.2019.006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The TSP is the problem to find the shortest path in a graph visiting every nodes exactly once and returning to the start node. The TSP is shown to be an NP-hard problem. To provide an acceptable solution for real life problems, the TSP are usually solved with some heuristic optimization algorithms. The paper proposes a clustering-based .problem decomposition algorithm to form the global route with merging of best local routes. Based on our test results, The proposed method can improve the efficiency of the standard heuristic methods for the TSP and MTSP problems.
基于聚类的多旅行商问题优化
TSP是在一个图中找到最短路径的问题,每个节点恰好访问一次,然后返回到开始节点。TSP被证明是np困难问题。为了给现实生活中的问题提供一个可接受的解决方案,TSP通常用一些启发式优化算法来解决。提出了一种基于聚类的问题分解算法,通过合并最优局部路由形成全局路由。实验结果表明,该方法可以提高标准启发式方法求解TSP和MTSP问题的效率。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信