{"title":"最小伸缩生成树问题的Carousel贪婪算法","authors":"Jiaqi Wang , Carmine Cerrone , Bruce Golden","doi":"10.1016/j.cor.2025.107229","DOIUrl":null,"url":null,"abstract":"<div><div>The minimum stretch spanning tree problem aims to find a spanning tree that minimizes the maximum ratio of the distance in the spanning tree to that in the original graph between each possible pair of vertices. Existing heuristic algorithms for this problem are either computationally expensive or they often produce solutions with significant optimality gaps. In this paper, we introduce a straightforward and promising carousel greedy algorithm to tackle this challenging combinatorial optimization problem. By investigating the properties of the problem, we further enhance the algorithm’s performance. Our algorithm significantly outperforms the best-known algorithms in the literature for both unweighted and weighted graphs, demonstrating superior solution quality with efficient running time.</div></div>","PeriodicalId":10542,"journal":{"name":"Computers & Operations Research","volume":"184 ","pages":"Article 107229"},"PeriodicalIF":4.3000,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Carousel greedy algorithms for the minimum stretch spanning tree problem\",\"authors\":\"Jiaqi Wang , Carmine Cerrone , Bruce Golden\",\"doi\":\"10.1016/j.cor.2025.107229\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The minimum stretch spanning tree problem aims to find a spanning tree that minimizes the maximum ratio of the distance in the spanning tree to that in the original graph between each possible pair of vertices. Existing heuristic algorithms for this problem are either computationally expensive or they often produce solutions with significant optimality gaps. In this paper, we introduce a straightforward and promising carousel greedy algorithm to tackle this challenging combinatorial optimization problem. By investigating the properties of the problem, we further enhance the algorithm’s performance. Our algorithm significantly outperforms the best-known algorithms in the literature for both unweighted and weighted graphs, demonstrating superior solution quality with efficient running time.</div></div>\",\"PeriodicalId\":10542,\"journal\":{\"name\":\"Computers & Operations Research\",\"volume\":\"184 \",\"pages\":\"Article 107229\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Operations Research\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0305054825002588\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Operations Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0305054825002588","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Carousel greedy algorithms for the minimum stretch spanning tree problem
The minimum stretch spanning tree problem aims to find a spanning tree that minimizes the maximum ratio of the distance in the spanning tree to that in the original graph between each possible pair of vertices. Existing heuristic algorithms for this problem are either computationally expensive or they often produce solutions with significant optimality gaps. In this paper, we introduce a straightforward and promising carousel greedy algorithm to tackle this challenging combinatorial optimization problem. By investigating the properties of the problem, we further enhance the algorithm’s performance. Our algorithm significantly outperforms the best-known algorithms in the literature for both unweighted and weighted graphs, demonstrating superior solution quality with efficient running time.
期刊介绍:
Operations research and computers meet in a large number of scientific fields, many of which are of vital current concern to our troubled society. These include, among others, ecology, transportation, safety, reliability, urban planning, economics, inventory control, investment strategy and logistics (including reverse logistics). Computers & Operations Research provides an international forum for the application of computers and operations research techniques to problems in these and related fields.