Jai Keerthy Chowlur Revanna, Nushwan Yousif B.Al-Nakash
{"title":"基于KMeans聚类的时间窗约束车辆路径问题","authors":"Jai Keerthy Chowlur Revanna, Nushwan Yousif B.Al-Nakash","doi":"10.34257/gjcstdvol22is1pg49","DOIUrl":null,"url":null,"abstract":"In this paper, the problem statement is solving the Vehicle Routing Problem with Time Window constraint using the Ant Colony Algorithm with K-Means Clustering. In this problem, the vehicles must start at a common depot, pickup from various warehouses, deliver to the respective nodes within the time window defined by the customer and return back to the depot.The objectives defined are to reduce number of vehicles employed, the total logistics cost and to reduce carbon emissions. The mathematical model described in this paper has considered multiple pickup and multiple delivery points. The proposed solution of this paper aims to provide better and more efficient solution while minimizing areas of conflict so as to provide the best output on a large scale.","PeriodicalId":340110,"journal":{"name":"Global journal of computer science and technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Vehicle Routing Problem with Time Window Constrain using KMeans Clustering to Obtain the Closest Customer\",\"authors\":\"Jai Keerthy Chowlur Revanna, Nushwan Yousif B.Al-Nakash\",\"doi\":\"10.34257/gjcstdvol22is1pg49\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the problem statement is solving the Vehicle Routing Problem with Time Window constraint using the Ant Colony Algorithm with K-Means Clustering. In this problem, the vehicles must start at a common depot, pickup from various warehouses, deliver to the respective nodes within the time window defined by the customer and return back to the depot.The objectives defined are to reduce number of vehicles employed, the total logistics cost and to reduce carbon emissions. The mathematical model described in this paper has considered multiple pickup and multiple delivery points. The proposed solution of this paper aims to provide better and more efficient solution while minimizing areas of conflict so as to provide the best output on a large scale.\",\"PeriodicalId\":340110,\"journal\":{\"name\":\"Global journal of computer science and technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global journal of computer science and technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34257/gjcstdvol22is1pg49\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global journal of computer science and technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34257/gjcstdvol22is1pg49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vehicle Routing Problem with Time Window Constrain using KMeans Clustering to Obtain the Closest Customer
In this paper, the problem statement is solving the Vehicle Routing Problem with Time Window constraint using the Ant Colony Algorithm with K-Means Clustering. In this problem, the vehicles must start at a common depot, pickup from various warehouses, deliver to the respective nodes within the time window defined by the customer and return back to the depot.The objectives defined are to reduce number of vehicles employed, the total logistics cost and to reduce carbon emissions. The mathematical model described in this paper has considered multiple pickup and multiple delivery points. The proposed solution of this paper aims to provide better and more efficient solution while minimizing areas of conflict so as to provide the best output on a large scale.