{"title":"一个使单台机器总加权延迟成本最小化的有效系统","authors":"C. Lamiche, Djahel Bouchra","doi":"10.1109/ICD47981.2019.9105730","DOIUrl":null,"url":null,"abstract":"In this research work, we develop a new effective procedure based on bio-inspired techniques in order to resolve the single machine total weighted tardiness problem (SMTWT). The presented algorithm is based on evolutionary algorithms such as genetic algorithm and a local search metaheuristic. The proposed system is evaluated on 125 instances of all the standard benchmark problem cases with 40, 50 and 100 coming from OR-Library. Obtained results showed the potent of the developed approach compared to some other recently literature works.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Efficient System for Minimizing Total Weighted Tardiness Cost on single Machine\",\"authors\":\"C. Lamiche, Djahel Bouchra\",\"doi\":\"10.1109/ICD47981.2019.9105730\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research work, we develop a new effective procedure based on bio-inspired techniques in order to resolve the single machine total weighted tardiness problem (SMTWT). The presented algorithm is based on evolutionary algorithms such as genetic algorithm and a local search metaheuristic. The proposed system is evaluated on 125 instances of all the standard benchmark problem cases with 40, 50 and 100 coming from OR-Library. Obtained results showed the potent of the developed approach compared to some other recently literature works.\",\"PeriodicalId\":277894,\"journal\":{\"name\":\"2019 International Conference on Digitization (ICD)\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Digitization (ICD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICD47981.2019.9105730\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Digitization (ICD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICD47981.2019.9105730","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Efficient System for Minimizing Total Weighted Tardiness Cost on single Machine
In this research work, we develop a new effective procedure based on bio-inspired techniques in order to resolve the single machine total weighted tardiness problem (SMTWT). The presented algorithm is based on evolutionary algorithms such as genetic algorithm and a local search metaheuristic. The proposed system is evaluated on 125 instances of all the standard benchmark problem cases with 40, 50 and 100 coming from OR-Library. Obtained results showed the potent of the developed approach compared to some other recently literature works.
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