Christos Papalitsas, Konstantinos Giannakis, T. Andronikos, Dimitrios Theotokis, Angelo Sifaleras
{"title":"基于可变邻域搜索的时间窗TSP初始化方法","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":"{\"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}","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}
Initialization methods for the TSP with Time Windows using Variable Neighborhood Search
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.