Leveraging Reinforcement Learning, Constraint Programming and Local Search: A Case Study in Car Manufacturing.
Valentin AntuoriEmmanuel HebrardMarie-José HuguetSiham EssodaiguiAlain NguyenPublished in: CP (2020)
Keyphrases
- constraint programming
- reinforcement learning
- search heuristics
- search strategies
- combinatorial search problems
- backtrack search
- propositional satisfiability
- constraint propagation
- constraint satisfaction problems
- combinatorial problems
- integer programming
- systematic search
- constraint satisfaction
- global constraints
- column generation
- np hard problems
- search algorithm
- genetic algorithm
- constraint logic programming
- search space
- optimal policy
- state space
- hard and soft constraints
- finite domain
- constraint solver
- arc consistency
- symmetry breaking
- machine learning
- constraint optimization
- learning algorithm
- tabu search
- combinatorial optimization
- np hard
- hard constraints
- constraint solving
- stochastic local search
- particle swarm optimization
- simulated annealing
- dynamic programming