用进化计算调度特定类型的批处理过程

J. Heinonen, F. Pettersson
{"title":"用进化计算调度特定类型的批处理过程","authors":"J. Heinonen, F. Pettersson","doi":"10.1109/CEC.2003.1299771","DOIUrl":null,"url":null,"abstract":"A genetic algorithm is used to calculate production schedules for a specific type of batch-mode manufacturing process. Previous scheduling efforts included both time discretised MILP as well as continuous-time MILP, both of which were outperformed by the GA when measured in calculation times and final schedule accuracy. The approach is two-folded and an algorithm to reproduce it on similar processes is presented.","PeriodicalId":416243,"journal":{"name":"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Scheduling a specific type of batch process with evolutionary computation\",\"authors\":\"J. Heinonen, F. Pettersson\",\"doi\":\"10.1109/CEC.2003.1299771\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A genetic algorithm is used to calculate production schedules for a specific type of batch-mode manufacturing process. Previous scheduling efforts included both time discretised MILP as well as continuous-time MILP, both of which were outperformed by the GA when measured in calculation times and final schedule accuracy. The approach is two-folded and an algorithm to reproduce it on similar processes is presented.\",\"PeriodicalId\":416243,\"journal\":{\"name\":\"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEC.2003.1299771\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2003.1299771","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

针对一类特定的批量制造过程,采用遗传算法计算生产计划。以前的调度工作包括时间离散MILP和连续时间MILP,当测量计算时间和最终调度精度时,遗传算法优于这两种方法。该方法是双折叠的,并提出了一种在类似过程中复制它的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scheduling a specific type of batch process with evolutionary computation
A genetic algorithm is used to calculate production schedules for a specific type of batch-mode manufacturing process. Previous scheduling efforts included both time discretised MILP as well as continuous-time MILP, both of which were outperformed by the GA when measured in calculation times and final schedule accuracy. The approach is two-folded and an algorithm to reproduce it on similar processes is presented.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信