Non-linear great deluge with reinforcement learning for university course timetabling
This paper describes a non-linear great deluge hyper-heuristic incorporating a reinforcement learning mechanism for the selection of low-level heuristics and a non-linear great deluge acceptance criterion. The proposed hyper-heuristic deals with complete solutions, i.e. it is a solution improvement...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Book Section |
| Published: |
Springer
2011
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/32607/ |