{"title":"A parameter tuned hybrid algorithm for solving flow shop scheduling problems with parallel assembly stages","authors":"Mona Jabbari , Madjid Tavana , Parviz Fattahi , Fatemeh Daneshamooz","doi":"10.1016/j.susoc.2021.09.002","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"3 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412721000362/pdfft?md5=8cb71b4a6a84e59cfedeb19396ddea43&pid=1-s2.0-S2666412721000362-main.pdf","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Operations and Computers","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666412721000362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
求解并行装配阶段流水车间调度问题的参数调谐混合算法
在本文中,我们研究了一个定制生产系统的调度问题,该系统由一条流水车间生产线组成,该生产线具有两个阶段生产各种产品的平行装配阶段。在生产线的第一阶段,使用流水车间生产线生产零件,在第二阶段,在其中一条平行装配线上组装产品。目标是使用有效的调度来最大限度地减少完成所有货物(完工时间)所需的时间。建立了数学模型;然而,该模型是NP难的,不能在合理的时间内求解。为了解决这个NP难题,我们提出了两个著名的元启发式算法和一个混合算法。为了校准和提高算法的性能,我们采用了田口方法。我们用遗传算法(GA)和粒子群优化(PSO)这两种著名的方法评估了我们的混合算法的性能,并证明我们的混合方法在效率方面优于GA和PSO方法。
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