the mixed-integer programming model for flexible job shop scheduling problem is solved by gurobi
This project is the implement of baseline methods of our published paper "A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem". Paper link: https://www.sciencedirect.com/science/article/pii/S0957417422010624
You can download form FJSP benchmark website https://github.com/leikun-starting/FJSP-benchmarks to test other FJSP instances.
Everyone is welcome to use our code and cite our paper.
{Kun Lei, Peng Guo, Wenchao Zhao, Yi Wang, Linmao Qian, Xiangyin Meng, Liansheng Tang, A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem, Expert Systems with Applications, Volume 205, 2022, 117796, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2022.117796. (https://www.sciencedirect.com/science/article/pii/S0957417422010624)}
For open access source, please cite the work correctly!!!