| A self-learning approach for optimal detailed scheduling of multi-product pipeline | |
| 刊名 | JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
 |
| 2018 | |
| 卷号 | 327页码:41-63 |
| 关键词 | Multi-product pipeline Self-learning approach Detailed scheduling Mixed-integer linear programming (MILP) Fuzzy clustering analysis Ant colony optimization (ACO) |
| ISSN号 | 0377-0427 |
| DOI | 10.1016/j.cam.2017.05.040 |
| URL标识 | 查看原文 |
| 收录类别 | SCIE ; EI |
| WOS记录号 | WOS:000412792400003 |
| 内容类型 | 期刊论文 |
| URI标识 | http://www.corc.org.cn/handle/1471x/6263956 |
| 专题 | 中国石油大学（北京） |
| 推荐引用方式 GB/T 7714 | . A self-learning approach for optimal detailed scheduling of multi-product pipeline[J]. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS,2018,327:41-63. |
| APA | (2018).A self-learning approach for optimal detailed scheduling of multi-product pipeline.JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS,327,41-63. |
| MLA | "A self-learning approach for optimal detailed scheduling of multi-product pipeline".JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 327(2018):41-63. |
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