摘要
In order to solve the flexible job-shop batch scheduling problem, based on the heuristic scheduling method, this paper design a flexible job shop batch scheduling algorithm, by using the framework of genetic algorithm and a flexible batch coding method based on 'cursors'. While finding the optimal batch strategy through genetic algorithm, the algorithm uses heuristic method to solve the sub-problem of sub-lot scheduling, taking into account the completeness and rapidity of solution. Finally, through simulation experiments, the results are analyzed to verify the effectiveness of the algorithm.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2022 IEEE International Conference on Mechatronics and Automation, ICMA 2022 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 1463-1467 |
| 页数 | 5 |
| ISBN（电子版） | 9781665408523 |
| DOI | |
| 出版状态 | 已出版 - 2022 |
| 活动 | 19th IEEE International Conference on Mechatronics and Automation, ICMA 2022 - Guilin, Guangxi, 中国 期限: 7 8月 2022 → 10 8月 2022 |
出版系列
| 姓名 | 2022 IEEE International Conference on Mechatronics and Automation, ICMA 2022 |
|---|
会议
| 会议 | 19th IEEE International Conference on Mechatronics and Automation, ICMA 2022 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Guilin, Guangxi |
| 时期 | 7/08/22 → 10/08/22 |
指纹
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Li, Y., Wang, A., & Zhang, S. (2022). A Batch Scheduling Technique of Flexible Job-Shop Based on Improved Genetic Algorithm. 在 2022 IEEE International Conference on Mechatronics and Automation, ICMA 2022 (页码 1463-1467). (2022 IEEE International Conference on Mechatronics and Automation, ICMA 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMA54519.2022.9856332