{"title":"6个城市置换和删除交叉的简单TSP方法","authors":"N. Matsumoto, S. Yashiki","doi":"10.1109/PACRIM.1999.799555","DOIUrl":null,"url":null,"abstract":"We examine an intuitive and very simple approach to find a suboptimal solution to TSP. The algorithm consists of the determination of the initial tour, permutation of the consecutive six cities and the deletion of the crossover. We have tested two kinds of algorithm to the examples on the Web site of TSPLIB95. The average ratio of the length of the obtained tour to the optimal length was 1.0464 and 1.0662.","PeriodicalId":176763,"journal":{"name":"1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Simple approach to TSP by permutation of six cities and deletion of crossover\",\"authors\":\"N. Matsumoto, S. Yashiki\",\"doi\":\"10.1109/PACRIM.1999.799555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We examine an intuitive and very simple approach to find a suboptimal solution to TSP. The algorithm consists of the determination of the initial tour, permutation of the consecutive six cities and the deletion of the crossover. We have tested two kinds of algorithm to the examples on the Web site of TSPLIB95. The average ratio of the length of the obtained tour to the optimal length was 1.0464 and 1.0662.\",\"PeriodicalId\":176763,\"journal\":{\"name\":\"1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACRIM.1999.799555\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.1999.799555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simple approach to TSP by permutation of six cities and deletion of crossover
We examine an intuitive and very simple approach to find a suboptimal solution to TSP. The algorithm consists of the determination of the initial tour, permutation of the consecutive six cities and the deletion of the crossover. We have tested two kinds of algorithm to the examples on the Web site of TSPLIB95. The average ratio of the length of the obtained tour to the optimal length was 1.0464 and 1.0662.