Research Article
Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation
Table 1
Description and formula of hybrid deep neural network input.
| Feature | Description | Formula |
| | Position order [3] | | | Ratio of machine index i to machine number m [23] | | | Ratio of job index j to job number n [23] | | | Remaining processing time of job j [3] | | | Ratio of operation processing time to total processing time [23] | | | Ratio of operation processing time to processing time of machine i [23] | | | Ratio of operation processing time to processing time of job j [11] | | | Ratio of processing time of machine i to total processing time [11] | | | Ratio of job j’s processing time to total job processing time | | | Ratio of job j’s processing time to processing time of machine i | |
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References indicate that this feature has been used in the corresponding literature.
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