{"title":"车辆路径问题的一种新的遗传算法","authors":"Juay Chin Ang, Wee-Kit Ho, A. Lim","doi":"10.1109/TAI.1999.809805","DOIUrl":null,"url":null,"abstract":"This paper focuses on the study of a hybrid of two search heuristics, tabu search (TS) and genetic algorithms (GA) in the vehicle routing problem with time-windows (VRPTW). TS is a local search technique that has been successfully applied to many NP-complete problems. On the other hand, a GA which is capable of searching multiple search areas in a search space is good for diversification. We investigate whether a hybrid of the two heuristics outperforms the individual heuristics.","PeriodicalId":194023,"journal":{"name":"Proceedings 11th International Conference on Tools with Artificial Intelligence","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"A new GA approach for the vehicle routing problem\",\"authors\":\"Juay Chin Ang, Wee-Kit Ho, A. Lim\",\"doi\":\"10.1109/TAI.1999.809805\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on the study of a hybrid of two search heuristics, tabu search (TS) and genetic algorithms (GA) in the vehicle routing problem with time-windows (VRPTW). TS is a local search technique that has been successfully applied to many NP-complete problems. On the other hand, a GA which is capable of searching multiple search areas in a search space is good for diversification. We investigate whether a hybrid of the two heuristics outperforms the individual heuristics.\",\"PeriodicalId\":194023,\"journal\":{\"name\":\"Proceedings 11th International Conference on Tools with Artificial Intelligence\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 11th International Conference on Tools with Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1999.809805\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 11th International Conference on Tools with Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1999.809805","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper focuses on the study of a hybrid of two search heuristics, tabu search (TS) and genetic algorithms (GA) in the vehicle routing problem with time-windows (VRPTW). TS is a local search technique that has been successfully applied to many NP-complete problems. On the other hand, a GA which is capable of searching multiple search areas in a search space is good for diversification. We investigate whether a hybrid of the two heuristics outperforms the individual heuristics.