{"title":"遗传算法在车辆路径问题中的应用","authors":"Yueqin Zhang, Shiying Chen, Jinfeng Liu, Fu Duan","doi":"10.1109/ISECS.2008.227","DOIUrl":null,"url":null,"abstract":"Genetic Algorithms are excellent approaches to solving complex problem in optimization with difficult constraints. The vehicle routing problem (VRP) has been shown as an NP-complete problem. On the foundation of stressing the limitations of the network in VRP this paper introduces a finite automaton (FA) to produce individual population and implement a new evolution way using genetic algorithm. Besides, the paper shows the application in an urban public transportation system.","PeriodicalId":144075,"journal":{"name":"2008 International Symposium on Electronic Commerce and Security","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The Application of Genetic Algorithm in Vehicle Routing Problem\",\"authors\":\"Yueqin Zhang, Shiying Chen, Jinfeng Liu, Fu Duan\",\"doi\":\"10.1109/ISECS.2008.227\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Genetic Algorithms are excellent approaches to solving complex problem in optimization with difficult constraints. The vehicle routing problem (VRP) has been shown as an NP-complete problem. On the foundation of stressing the limitations of the network in VRP this paper introduces a finite automaton (FA) to produce individual population and implement a new evolution way using genetic algorithm. Besides, the paper shows the application in an urban public transportation system.\",\"PeriodicalId\":144075,\"journal\":{\"name\":\"2008 International Symposium on Electronic Commerce and Security\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposium on Electronic Commerce and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISECS.2008.227\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Electronic Commerce and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISECS.2008.227","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Application of Genetic Algorithm in Vehicle Routing Problem
Genetic Algorithms are excellent approaches to solving complex problem in optimization with difficult constraints. The vehicle routing problem (VRP) has been shown as an NP-complete problem. On the foundation of stressing the limitations of the network in VRP this paper introduces a finite automaton (FA) to produce individual population and implement a new evolution way using genetic algorithm. Besides, the paper shows the application in an urban public transportation system.
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