标题:A supervised self-organizing approach for large-scale multistage batch scheduling problems
作者:Yang, Fan; Liang, Tao; Song, Wen; Li, Qiqiang
通讯作者:Li, Q
作者机构:[Yang, Fan; Song, Wen; Li, Qiqiang] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China.; [Liang, Tao] Consulting Inst CORP LTD, Sh 更多
会议名称:10th IEEE International Conference on Control and Automation (IEEE ICCA)
会议日期:JUN 12-14, 2013
来源:2013 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA)
出版年:2013
页码:170-175
DOI:10.1109/ICCA.2013.6565051
摘要:This paper presents a supervised self-organizing approach for solving the scheduling problems of large-scale multistage batch plants. The proposed approach is based on a supervised self-organizing model, which consists of a self-organizing scheduling system and a supervisory unit. Four types of self-organizing units are defined in the self-organizing scheduling system and they can be guided by the supervisory unit in a global perspective. A supervised self-organizing algorithm, in which minimum makespan is selected as the scheduling objective, is also proposed to solve the supervised self-organizing model. An illustrative example has been efficiently solved. Compared with MILP approach, the proposed approach shows its superiority in solving large-scale complex problems.
收录类别:CPCI-S;EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84882362118&doi=10.1109%2fICCA.2013.6565051&partnerID=40&md5=4ab0d12663ae572fa959ce2ebee93a23
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