Shaik Mastan, U. Balakrishnan, G. Sankar Sekhar Raju
{"title":"旅行推销员问题的启发式设计","authors":"Shaik Mastan, U. Balakrishnan, G. Sankar Sekhar Raju","doi":"10.2139/ssrn.3497478","DOIUrl":null,"url":null,"abstract":"The voyaging sales rep issue is a fit perceived enhancement issue. Ideal answers for humble cases can be found in sensible time by straight programming. Be that as it may, since the TSP is NP-hard, it will be very tedious to determine bigger occurrences with ensured optimality. Circumstance optimality aside, there's a lot of calculations opening equivalently quick activity time and still delicate close ideal arrangements.","PeriodicalId":432405,"journal":{"name":"Transportation Science eJournal","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Heuristics Designed For the Traveling Salesman Problem\",\"authors\":\"Shaik Mastan, U. Balakrishnan, G. Sankar Sekhar Raju\",\"doi\":\"10.2139/ssrn.3497478\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The voyaging sales rep issue is a fit perceived enhancement issue. Ideal answers for humble cases can be found in sensible time by straight programming. Be that as it may, since the TSP is NP-hard, it will be very tedious to determine bigger occurrences with ensured optimality. Circumstance optimality aside, there's a lot of calculations opening equivalently quick activity time and still delicate close ideal arrangements.\",\"PeriodicalId\":432405,\"journal\":{\"name\":\"Transportation Science eJournal\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Science eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3497478\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Science eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3497478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Heuristics Designed For the Traveling Salesman Problem
The voyaging sales rep issue is a fit perceived enhancement issue. Ideal answers for humble cases can be found in sensible time by straight programming. Be that as it may, since the TSP is NP-hard, it will be very tedious to determine bigger occurrences with ensured optimality. Circumstance optimality aside, there's a lot of calculations opening equivalently quick activity time and still delicate close ideal arrangements.