Event-driven dynamic job shop scheduling execution based on improved Genetic Algorithm and Ontology
文献类型：会议论文
| 作者 | Cheng HB(程海波) ; Xue LL(薛玲玲); Wang P(王鹏); Zeng P(曾鹏); Yu HB(于海斌)
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| 出版日期 | 2017 |
| 会议名称 | 2017 Chinese Automation Congress (CAC2017) & China Intelligent Manufacturing International Conference (CIMIC2017) |
| 会议日期 | October 20-22, 2017 |
| 会议地点 | Jinan, China |
| 关键词 | dynamic job shop scheduling problems improved genetic algorithm ontology module |
| 页码 | 6430-6435 |
| 通讯作者 | Xue LL(薛玲玲) |
| 中文摘要 | This paper proposes an improved Genetic Algorithm (IGA}-combined with ontology module to sol\'c dynamic job shop scheduling problem (DJSSP). The objective function of this scheduling problem is to minimize a weighted sum method of maximum complete time (makespan) and mean waiting time to periodically plan production. This scheduling method is applied to a flexible manufacturing system. A reschedule strategy is utilized to solve dynamic disturbances happened during manufacturing process. Experimental results show that schedule can be repaired efficiently and correctly without obviously affecting the scheduling. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 2017 Chinese Automation Congress (CAC2017) & China Intelligent Manufacturing International Conference (CIMIC2017)
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-5386-3524-7 |
| WOS记录号 | WOS:000427816106093 |
| 源URL | [http://ir.sia.cn/handle/173321/21327]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, China 2.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Cheng HB,Xue LL,Wang P,et al. Event-driven dynamic job shop scheduling execution based on improved Genetic Algorithm and Ontology[C]. 见:2017 Chinese Automation Congress (CAC2017) & China Intelligent Manufacturing International Conference (CIMIC2017). Jinan, China. October 20-22, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
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