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reinforcement learning for DFJSP
- Citation Author(s):
-
jiepinding
East China Normal University - Submitted by:
- Jiepin Ding
- Last updated:
- Wed, 05/04/2022 - 08:04
- DOI:
- 10.21227/z199-mj36
- License:
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Abstract
We conducted the experiments on seven different size instances for training and testing.
We used the notation |J| X |M| to denote that a DFJSP instance consists of |J| jobs and |M| machines.
Specifically, 10X10, 20X20, 30X30 are three static instances and four dynamic instances of various scales considering continuous arrival of jobs are set as 20X10, 30X15, 50X20, 100X20.
Instructions:
Number of machines [10, 30]
Number of initial jobs [10, 30]
Total number of jobs [0, 100]
Number of operations per job [10, 20]
Processing time [30, 50]
Available machine rate for each operation [0.3, 0.7]
