Reinforcement Learning for Dual-Resource Constrained Scheduling
This paper proposes using reinforcement learning to solve scheduling problems where two types of resources of limited availability must be allocated. The goal is to minimize the makespan of a dual-resource constrained flexible job shop scheduling problem. Efficient practical implementation is very v...
| Autor principal: | |
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| Outros Autores: | , , , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2021
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10174/28832 |
| País: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/28832 |