{"title":"Perishable goods delivery and scheduling with time window by genetic algorithm","authors":"Xu Xun-yu, Murata Tomohiro","doi":"10.1109/ICAL.2010.5585351","DOIUrl":null,"url":null,"abstract":"This paper focuses on the problem of delivery and scheduling for perishable goods with time-window. The aim is to find an optimal solution to minimize whole cost of delivery system. The challenge of this problem is that there are several trade-off between time constraint and cost constraint. We propose that genetic algorithm will be applied to research to find solution which meet customers' requirements and save cost in great extend.","PeriodicalId":393739,"journal":{"name":"2010 IEEE International Conference on Automation and Logistics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Automation and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAL.2010.5585351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper focuses on the problem of delivery and scheduling for perishable goods with time-window. The aim is to find an optimal solution to minimize whole cost of delivery system. The challenge of this problem is that there are several trade-off between time constraint and cost constraint. We propose that genetic algorithm will be applied to research to find solution which meet customers' requirements and save cost in great extend.