{"title":"基于遗传禁忌混合算法的战时多任务载具投送路径","authors":"Leiyu Mi, Gao Jun","doi":"10.1109/ICMTMA.2015.169","DOIUrl":null,"url":null,"abstract":"Vehicle routing for delivering explosive during wartime is the key factor of improving efficiency of protecting ammunition in rear warehouse. In this essay, I will build up a mathematical model of multitasking vehicle routing with Time Window constraint and construct a mixed algorithm of genetic taboos with two-layer searching structure. The algorithm has better ability to optimization, operating efficiency and reliability compared with basic genetic algorithm.","PeriodicalId":196962,"journal":{"name":"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation","volume":"256 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multitasking Vehicle Routing for Delivering the Explosive during Wartime Based on a Mixed Algorithm of Genetic Taboos\",\"authors\":\"Leiyu Mi, Gao Jun\",\"doi\":\"10.1109/ICMTMA.2015.169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vehicle routing for delivering explosive during wartime is the key factor of improving efficiency of protecting ammunition in rear warehouse. In this essay, I will build up a mathematical model of multitasking vehicle routing with Time Window constraint and construct a mixed algorithm of genetic taboos with two-layer searching structure. The algorithm has better ability to optimization, operating efficiency and reliability compared with basic genetic algorithm.\",\"PeriodicalId\":196962,\"journal\":{\"name\":\"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation\",\"volume\":\"256 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMTMA.2015.169\",\"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 Seventh International Conference on Measuring Technology and Mechatronics Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMTMA.2015.169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multitasking Vehicle Routing for Delivering the Explosive during Wartime Based on a Mixed Algorithm of Genetic Taboos
Vehicle routing for delivering explosive during wartime is the key factor of improving efficiency of protecting ammunition in rear warehouse. In this essay, I will build up a mathematical model of multitasking vehicle routing with Time Window constraint and construct a mixed algorithm of genetic taboos with two-layer searching structure. The algorithm has better ability to optimization, operating efficiency and reliability compared with basic genetic algorithm.
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