中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 数字工厂研究室  > 会议论文
题名:
A dynamic co-evolution compact genetic algorithm for E/T problem
作者: Han ZH(韩忠华); Zhu YX(朱一行); Lin S(林硕)
作者部门: 数字工厂研究室
会议名称: 17th IFAC Symposium on System Identification, SYSID 2015
会议日期: October 19-21, 2015
会议地点: Beijing, China
会议录: 17th IFAC Symposium on System Identification, SYSID 2015
会议录出版者: IFAC
会议录出版地: Laxenburg, AUSTRIA
出版日期: 2015
页码: 1439-1443
收录类别: EI
关键词: probabilistic models ; dynamic co-evolution ; compact genetic algorithm ; flexible flow shop ; earliness tardiness (E/T)
摘要: In this paper, a dynamic co-evolution compact genetic algorithm (DCCGA) is proposed for flexible flow shop scheduling problem (FFSP) to minimize the total earliness and tardiness (E/T) penalties. In this new algorithm, a dynamic co-evolution mechanism containing two probabilistic models and a best individual inheritance strategy are integrated into the compact genetic algorithm (CGA). For improving the stability of the evolutionary trend in the evolution processes, the diversity of evolution trend and the convergence speed. Lastly, the experimental results show that, DCCGA outperforms CGA by 11.74% on the problem we study.
语种: 英语
产权排序: 1
EI收录号: 20163902851565
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/19248
Appears in Collections:数字工厂研究室_会议论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
A dynamic co-evolution compact genetic algorithm for E T problem.pdf(563KB)会议论文--开放获取View Download

Recommended Citation:
Han ZH,Zhu YX,Lin S. A dynamic co-evolution compact genetic algorithm for E/T problem[C]. 17th IFAC Symposium on System Identification, SYSID 2015. Beijing, China. October 19-21, 2015.A dynamic co-evolution compact genetic algorithm for E/T problem.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[韩忠华]'s Articles
[朱一行]'s Articles
[林硕]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[韩忠华]‘s Articles
[朱一行]‘s Articles
[林硕]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: A dynamic co-evolution compact genetic algorithm for E T problem.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace