基于群体管理的模因算法对柔性制造系统性能的改进

H. Houari, Yamina Houbad, M. Souier, Z. Sari, Keddari Nassima
{"title":"基于群体管理的模因算法对柔性制造系统性能的改进","authors":"H. Houari, Yamina Houbad, M. Souier, Z. Sari, Keddari Nassima","doi":"10.2174/1874444301709010002","DOIUrl":null,"url":null,"abstract":"Material and Methods: In this paper, our interest is focused on the adaptation of an optimization algorithm called memetic Algorithm with Population Management based on the strategy of management of population to avoid slow or premature convergence and to carry out the excellent executions to solve real time alternative routings selection problem in a Flexible Manufacturing System (FMS), that consists of seven machining centres, a loading and an unloading area, and six different part types which have alternative routings.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Adaptation of Memetic Algorithm with Population Management for the Improvement of the Performances of Flexible Manufacturing Systems\",\"authors\":\"H. Houari, Yamina Houbad, M. Souier, Z. Sari, Keddari Nassima\",\"doi\":\"10.2174/1874444301709010002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Material and Methods: In this paper, our interest is focused on the adaptation of an optimization algorithm called memetic Algorithm with Population Management based on the strategy of management of population to avoid slow or premature convergence and to carry out the excellent executions to solve real time alternative routings selection problem in a Flexible Manufacturing System (FMS), that consists of seven machining centres, a loading and an unloading area, and six different part types which have alternative routings.\",\"PeriodicalId\":153592,\"journal\":{\"name\":\"The Open Automation and Control Systems Journal\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Open Automation and Control Systems Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1874444301709010002\",\"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 Open Automation and Control Systems Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1874444301709010002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

材料与方法:在本文中,我们的兴趣集中在一种基于种群管理策略的优化算法,称为模因算法与种群管理的适应,以避免缓慢或过早收敛,并进行优秀的执行,以解决柔性制造系统(FMS)中的实时备选路线选择问题,该系统由七个加工中心组成,一个装卸区,一个装卸区。还有六种不同的零件类型,它们有不同的路线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptation of Memetic Algorithm with Population Management for the Improvement of the Performances of Flexible Manufacturing Systems
Material and Methods: In this paper, our interest is focused on the adaptation of an optimization algorithm called memetic Algorithm with Population Management based on the strategy of management of population to avoid slow or premature convergence and to carry out the excellent executions to solve real time alternative routings selection problem in a Flexible Manufacturing System (FMS), that consists of seven machining centres, a loading and an unloading area, and six different part types which have alternative routings.
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:604180095
Book学术官方微信