{"title":"On the Performance of Tabu Search Algorithm for the Vehicle Routing Problem with Time Windows","authors":"Pınar Kırcı","doi":"10.1109/W-FiCloud.2016.77","DOIUrl":null,"url":null,"abstract":"In the paper, vehicle routing problem (VRP) with time windows is examined over google maps. The google maps is used to have real routes, in addition to the routes that are produced and illustrated over graphs. During the delivery process, carbon dioxide (Co2) emission rates and cost rates are examined in addition to main factors, time windows, vehicle speed, customer demands and vehicle capacity. In green energy, diminishing Co2 emission rates is a vital problem. In the paper, the best path is proposed with minimizing the cost and Co21 emissions by using the VRP with Tabu search. The paper includes an application for logistic management companies. Real scenarios are illustrated to collect results about logistics in Turkey.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/W-FiCloud.2016.77","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In the paper, vehicle routing problem (VRP) with time windows is examined over google maps. The google maps is used to have real routes, in addition to the routes that are produced and illustrated over graphs. During the delivery process, carbon dioxide (Co2) emission rates and cost rates are examined in addition to main factors, time windows, vehicle speed, customer demands and vehicle capacity. In green energy, diminishing Co2 emission rates is a vital problem. In the paper, the best path is proposed with minimizing the cost and Co21 emissions by using the VRP with Tabu search. The paper includes an application for logistic management companies. Real scenarios are illustrated to collect results about logistics in Turkey.
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