Solving non-permutation flow-shop scheduling problem via a novel deep reinforcement learning approach.
Saved in:
| Title: | Solving non-permutation flow-shop scheduling problem via a novel deep reinforcement learning approach. |
|---|---|
| Authors: | Wang, Zhenyu1, zhenyuwang@cqu.edu.cn, Cai, Bin1, caibin@cqu.edu.cn, Li, Jun1, li.jun@cqu.edu.cn, Yang, Deheng2, yangdeheng13@nudt.edu.cn, Zhao, Yang1, zhaoyang1@cqu.edu.cn, Xie, Huan1, huanxie@cqu.edu.cn |
| Source: | Computers & Operations Research; Mar2023, Vol. 151, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| ISSN: | 03050548 |
|---|---|
| DOI: | 10.1016/j.cor.2022.106095 |
