Samenvatting
In this work we present a Reinforcement Learning approach for the Flexible Job Shop Scheduling problem. The proposed approach
follows the ideas of the hierarchical approaches and combines learning and optimization in order to achieve better results. Several problem instances were used to test the algorithm and to compare the results with those reported by previous approaches.
follows the ideas of the hierarchical approaches and combines learning and optimization in order to achieve better results. Several problem instances were used to test the algorithm and to compare the results with those reported by previous approaches.
Originele taal-2 | English |
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Titel | Proc. Fifth International Conference on Learning and Intelligent Optimization (LION5) |
Redacteuren | Carlos A. Coello Coello, Xin Yao |
Uitgeverij | Lecture Notes in Computer Science, Springer |
Pagina's | 253-262 |
Aantal pagina's | 10 |
Volume | 6683 |
ISBN van geprinte versie | 978-3-642-25565-6 |
Status | Published - 2011 |
Evenement | Unknown - Duur: 1 jan 2011 → … |
Publicatie series
Naam | Proc. Fifth International Conference on Learning and Intelligent Optimization (LION5) |
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Conference
Conference | Unknown |
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Periode | 1/01/11 → … |