Learning to select operators in meta-heuristics: an integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem (Q2079447)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Learning to select operators in meta-heuristics: an integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem |
scientific article; zbMATH DE number 7594703
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Learning to select operators in meta-heuristics: an integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem |
scientific article; zbMATH DE number 7594703 |
Statements
Learning to select operators in meta-heuristics: an integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem (English)
0 references
29 September 2022
0 references
combinatorial optimization
0 references
iterated greedy meta-heuristic
0 references
reinforcement learning
0 references
Q-learning algorithm
0 references
permutation flowshop scheduling problem
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
