Local search with constraint propagation and conflict-based heuristics
Artificial Intelligence
Using Constraint Programming and Local Search Methods to Solve Vehicle Routing Problems
CP '98 Proceedings of the 4th International Conference on Principles and Practice of Constraint Programming
CP '02 Proceedings of the 8th International Conference on Principles and Practice of Constraint Programming
Basic components for constraint solver cooperations
Proceedings of the 2003 ACM symposium on Applied computing
Principles of Constraint Programming
Principles of Constraint Programming
Cooperation of constraint domains in the TOY system
Proceedings of the 10th international ACM SIGPLAN conference on Principles and practice of declarative programming
On the cooperation of the constraint domains ℋ, ℛ, and ℱ in cflp
Theory and Practice of Logic Programming
An approach for dynamic split strategies in constraint solving
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
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In this paper, we use a simple component language to design solver cooperations for solving constrained optimisation problems. The cooperations we consider are hybrid: they use both complete and incomplete methods in order to take advantage of their respective assets. Our language enables us to carry out some more exotic cooperations than the usual “algorithmic” ones. We present some experimental results that show the benefits of such hybrid cooperations in terms of efficiency.