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Titlebook: Integration of Constraint Programming, Artificial Intelligence, and Operations Research; 16th International C Louis-Martin Rousseau,Kostas

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A Sampling-Free Anticipatory Algorithm for the Kidney Exchange Problem,a program requires to solve an optimization problem (the Kidney Exchange Problem, or KEP) as new pairs arrive or, unfortunately, drop-off. The KEP is a stochastic online problem, and can greatly benefit from the use of anticipatory algorithms. Unfortunately, most such algorithms suffer from scalabil
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,Consistency for 0–1 Programming, plays a role in IP as well. For example, cutting planes can reduce backtracking by achieving various forms of consistency as well as by tightening the linear programming (LP) relaxation. We introduce a type of consistency that is particularly suited for 0–1 programming and develop the associated th
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,An Investigation into Prediction?+?Optimisation for the Knapsack Problem,ese predictions to solve the knapsack. The key is that the item profits are not known beforehand and thus must be estimated, but the quality of the solution is evaluated with respect to the true profits. We formalise the problem, the goal of minimising expected regret and the learning problem, and i
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