Reinforcement learning for search tree size minimization in Constraint Programming: New results on scheduling benchmarks
Failure-Directed Search (FDS) is a significant complete generic search algorithm used in Constraint Programming (CP) to efficiently explore the search space, proven particularly effective on scheduling problems. This paper analyzes FDS’s properties, showing that minimizing the size of its search tre...
Saved in:
| Published in: | Computers & industrial engineering Vol. 209; p. 111413 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.11.2025
|
| Subjects: | |
| ISSN: | 0360-8352 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!