Artificial Bee Colony to solve seafaring staff scheduling problem: A real case

M. Koubaa, Sonda Elloumi, S. Dhouib
{"title":"Artificial Bee Colony to solve seafaring staff scheduling problem: A real case","authors":"M. Koubaa, Sonda Elloumi, S. Dhouib","doi":"10.1109/ICAdLT.2014.6866331","DOIUrl":null,"url":null,"abstract":"Personnel scheduling problem is a combinatorial optimization problem which belongs to NP-hard set of problems. In this paper, we propose to solve a seafaring staff scheduling problem through the use of the Artificial Bee Colony method. The central aim of this work is to offer a productive way in order to release a benchmarking between the results produced by the artificial Bee Colony method and those obtained by the traditionally applied method. The results show that this method outperforms the traditional one. Besides, this algorithm enables us to give the maximum of coverage with a less computational time.","PeriodicalId":166090,"journal":{"name":"2014 International Conference on Advanced Logistics and Transport (ICALT)","volume":"59 3-4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Advanced Logistics and Transport (ICALT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAdLT.2014.6866331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Personnel scheduling problem is a combinatorial optimization problem which belongs to NP-hard set of problems. In this paper, we propose to solve a seafaring staff scheduling problem through the use of the Artificial Bee Colony method. The central aim of this work is to offer a productive way in order to release a benchmarking between the results produced by the artificial Bee Colony method and those obtained by the traditionally applied method. The results show that this method outperforms the traditional one. Besides, this algorithm enables us to give the maximum of coverage with a less computational time.
人工蜂群解决航海人员调度问题:一个真实案例
人员调度问题是一个组合优化问题,属于np -硬集问题。本文提出了一种利用人工蜂群方法解决航海人员调度问题的方法。这项工作的中心目标是提供一种富有成效的方式,以便在人工蜂群方法产生的结果和传统应用方法获得的结果之间发布基准。结果表明,该方法优于传统方法。此外,该算法使我们能够以较少的计算时间获得最大的覆盖范围。
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 求助全文
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