标题：A supervised self-organizing approach for large-scale multistage batch scheduling problems
作者：Yang, Fan; Liang, Tao; Song, Wen; Li, Qiqiang
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)
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.