ai-for-decision-making-tue / job_shop_scheduling_benchmark_environments_and_instances Goto Github PK

我用py3.12的环境，有些包安装不了。

Hi~ , I'm a newbee in FJSP, and I'm very appreciate for this project. When i try to run the training method of DRL solution, I encounted the following problem when validating.

I guess the validation dataset holds the wrong samples, but i don't know how to solve.
The traceback stack is as follows:

Exception has occurred: KeyError
2
File "/home/cheny/Projects/JSPRepo/solutions/FJSP_DRL/env.py", line 252, in step
duration = operation.processing_times[machine_ix]
~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/home/cheny/Projects/JSPRepo/solutions/FJSP_DRL/validate.py", line 48, in validate
state, rewards, dones = env.step(actions)
^^^^^^^^^^^^^^^^^
File "/home/cheny/Projects/JSPRepo/solutions/FJSP_DRL/train.py", line 175, in main
vali_result, vali_result_100 = validate(env_valid_paras, env_valid, model.policy_old)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/cheny/Projects/JSPRepo/solutions/FJSP_DRL/train.py", line 219, in
main(param_file=args.config_file)
KeyError: 2

And the keyError value may differ when re-run the training process.
Any helps would be appreciated.

Hi all, just came across this library by coincidence. Great to see this effort to make a benchmark repository! I'm working on flexible job shop scheduling problems and flow shop problems for my own research.

One major difficulty I have is that most papers/repositories don't store their solutions but only report the best-found value. This makes it hard to verify their results. In vehicle routing, we have e.g., CVRPLIB which maintains the best-known solutions for CVRP and VRPTW. We also try to do that for prize-collecting VRP here.

Are there any plans from your side to host the best-known solutions? Happy to contribute as well.