Using learning classifier systems to design selective hyper-heuristics for constraint satisfaction problems.
José Carlos Ortiz-BaylissHugo Terashima-MarínSantiago E. Conant-PablosPublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- constraint satisfaction problems
- hyper heuristics
- constraint satisfaction
- learning classifier systems
- search space
- genetic programming
- constraint programming
- arc consistency
- soft constraints
- np hard
- np complete
- constraint propagation
- graph coloring
- non binary
- evolutionary algorithm
- optimization problems
- combinatorial problems
- special case
- reinforcement learning
- decision trees