Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem.
Imanol EcheverriaMaialen MuruaRoberto SantanaPublished in: CoRR (2024)
Keyphrases
- constraint programming
- deep learning
- finite domain
- search heuristics
- constraint problems
- constraint optimization
- combinatorial problems
- constraint satisfaction problems
- constraint solvers
- constraint propagation
- constraint satisfaction
- unsupervised learning
- global constraints
- multi objective
- search strategies
- unsupervised feature learning
- column generation
- machine learning
- combinatorial optimization
- constraint solver
- weakly supervised
- arc consistency
- symmetry breaking
- hard and soft constraints
- mental models
- job shop scheduling
- constraint solving
- machine learning or data mining
- traveling salesman problem
- systematic search
- graph coloring
- knowledge discovery
- np hard
- multiscale