An ordered approach to Minimum Completion Time in unrelated parallel-machines for the makespan optimization

A. Santos, A. Madureira, M. Varela
{"title":"An ordered approach to Minimum Completion Time in unrelated parallel-machines for the makespan optimization","authors":"A. Santos, A. Madureira, M. Varela","doi":"10.1109/NaBIC.2014.6921856","DOIUrl":null,"url":null,"abstract":"In the current global market organizations face uncertainties and shorter response time. In order to remain competitive many organizations adopted flexible resources capable of performing several operations with different performance capabilities. The unrelated parallel-machines makespan minimization problem (Rm∥Cmax) is known to be NP-hard or too complex to be solved exactly. Among the several heuristics used for solving this problem, it is possible to identify MCT (Minimum Completion Time) that allocates tasks in a random order to the minimum completion time machine. This paper proposes an ordered approach to the MCT heuristic. MOMCT (Modified Ordered Minimum Completion Time), which will order tasks in accordance to the mean difference of the completion time on each machine and the minimum completion time machine. The computational study demonstrated the improved performance of the proposed ordered approach to the MCT heuristic.","PeriodicalId":209716,"journal":{"name":"2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NaBIC.2014.6921856","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In the current global market organizations face uncertainties and shorter response time. In order to remain competitive many organizations adopted flexible resources capable of performing several operations with different performance capabilities. The unrelated parallel-machines makespan minimization problem (Rm∥Cmax) is known to be NP-hard or too complex to be solved exactly. Among the several heuristics used for solving this problem, it is possible to identify MCT (Minimum Completion Time) that allocates tasks in a random order to the minimum completion time machine. This paper proposes an ordered approach to the MCT heuristic. MOMCT (Modified Ordered Minimum Completion Time), which will order tasks in accordance to the mean difference of the completion time on each machine and the minimum completion time machine. The computational study demonstrated the improved performance of the proposed ordered approach to the MCT heuristic.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
无关联并行机最小完成时间的有序优化方法
在当前的全球市场中,组织面临着不确定性和较短的响应时间。为了保持竞争力,许多组织采用了能够执行具有不同性能的多种操作的灵活资源。不相关的并行机最大跨度最小化问题(Rm∥Cmax)已知是np困难的,或者太复杂而无法精确解决。在用于解决此问题的几种启发式方法中,可以识别MCT(最小完成时间),它以随机顺序将任务分配给最小完成时间机器。本文提出了一种MCT启发式的有序方法。修正有序最小完成时间(MOMCT),根据每台机器完成时间与最小完成时间机器的平均差值对任务进行排序。计算研究表明,所提出的有序方法在MCT启发式算法中具有较好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Feedforward and feedback optimal vibration rejection for active suspension discrete-time systems under in-vehicle networks On the efficiency of Multi-core Grammatical Evolution (MCGE) evolving multi-core parallel programs Fuzzy c-means with wavelet filtration for MR image segmentation Towards an autonomous multistate biomolecular devices built on DNA Energy optimization for task scheduling in distributed systems by an Artificial Bee Colony approach
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1