Titlebook: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; 9th International Co Nicolas Beldicea

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Yuri Malitsky,Meinolf Sellmannementation of an open-source proof-of-concept scenario focusing on the lifecycle management of cloud native MEC applications. The resulting prototype shows the feasibility of this approach, that can be adequate to create a lightweight MEC demonstration platform for university laboratories and experi

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Florence Massen,Yves Deville,Pascal Van Hentenryckine changes). One of these versions explores the full spectrum of all cores in order to grant the best solution when solving the RCSA problem. The results of a simulation study show that exploring all the cores when solving the RCSA problem can reduce the blocking ratio of those networks and, theref

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A Contractor Based on Convex Interval Taylor,osite corners of the domain for every constraint..The . operator can be rapidly encoded, and produces good speedups in constrained global optimization and constraint satisfaction. First experiments compare . with affine arithmetic.

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Constraint Optimization Problems and Bounded Tree-Width Revisited,er)graph structure of the constraints, we consider the problems parameterized by the tree-width of primal, dual, and incidence graphs, combined with several other basic parameters such as domain size and arity. Such parameterizations of plain CSPs have been studied by Samer and Szeider. Here, we ext

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