{"title":"并行非同构批处理机器调度的遗传算法","authors":"Shubin Xu, J. C. Bean","doi":"10.1109/SCIS.2007.367682","DOIUrl":null,"url":null,"abstract":"In this paper, we study the scheduling problem of minimizing makespan on parallel non-identical batch processing machines. We formulate the scheduling problem into an integer programming model. Due to the difficulty of the problem, it is hard to solve the problem with standard mathematical programming software. We propose a genetic algorithm based on random keys encoding to address this problem. Computational results show that this genetic algorithm consistently finds a solution in a reasonable amount of computation time","PeriodicalId":184726,"journal":{"name":"2007 IEEE Symposium on Computational Intelligence in Scheduling","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"55","resultStr":"{\"title\":\"A Genetic Algorithm for Scheduling Parallel Non-identical Batch Processing Machines\",\"authors\":\"Shubin Xu, J. C. Bean\",\"doi\":\"10.1109/SCIS.2007.367682\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we study the scheduling problem of minimizing makespan on parallel non-identical batch processing machines. We formulate the scheduling problem into an integer programming model. Due to the difficulty of the problem, it is hard to solve the problem with standard mathematical programming software. We propose a genetic algorithm based on random keys encoding to address this problem. Computational results show that this genetic algorithm consistently finds a solution in a reasonable amount of computation time\",\"PeriodicalId\":184726,\"journal\":{\"name\":\"2007 IEEE Symposium on Computational Intelligence in Scheduling\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"55\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Symposium on Computational Intelligence in Scheduling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCIS.2007.367682\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Symposium on Computational Intelligence in Scheduling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCIS.2007.367682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Genetic Algorithm for Scheduling Parallel Non-identical Batch Processing Machines
In this paper, we study the scheduling problem of minimizing makespan on parallel non-identical batch processing machines. We formulate the scheduling problem into an integer programming model. Due to the difficulty of the problem, it is hard to solve the problem with standard mathematical programming software. We propose a genetic algorithm based on random keys encoding to address this problem. Computational results show that this genetic algorithm consistently finds a solution in a reasonable amount of computation time