Titlebook: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; First International Jean-Charles Rég

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存心

decipher

SAT-Based Branch & Bound and Optimal Control of Hybrid Dynamical Systemsin discrete-time. We describe how to model the “hybrid” dynamics so that the optimal control problem can be solved by the hybrid MIP+SAT solver, and show that the achieved performance is superior to the one achieved by commercial MIP solvers.

控訴

Super Solutions in Constraint Programmingper solutions do not exist, we show how to find the most robust solution. Finally, we extend our approach from robust solutions of constraint satisfaction problems to constraint optimization problems.

擴(kuò)大

A Global Constraint for Nesting Problems is aimed at improving the expressiveness of constraints for this kind of problems and the effectiveness of their resolution using global constraints..A?global constraint “outside” for the non-overlapping constraints at the core of nesting problems has been developed using the constraint programming

patriot

Models and Symmetry Breaking for ‘Peaceable Armies of Queens’ at proving optimality, and the opposite heuristic for which the reverse is true. We suggest that in designing heuristics for optimization problems, the different requirements of the two tasks (finding an optimal solution and proving optimality) should be taken into account.

Proclaim

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization ProblemFirst International

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