Applying Decision Transformers to Enhance Neural Local Search on the Job Shop Scheduling Problem
<i>Background</i>: The job shop scheduling problem (JSSP) and its solution algorithms have been of enduring interest in both academia and industry for decades. In recent years, machine learning (ML) has been playing an increasingly important role in advancing existing solutions and building new heur...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2025-03-01
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| coleção: | AI |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2673-2688/6/3/48 |
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