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Titlebook: Integration of Constraint Programming, Artificial Intelligence, and Operations Research; 15th International C Willem-Jan van Hoeve Conferen

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Constraint Programming for High School Timetabling: A Scheduling-Based Model with Hot Starts,s (e.g. classes) with respect to a variety of constraints. In this paper, we study the applicability of constraint programming (CP) for high school timetabling. We formulate a novel CP model for HSTT using a scheduling-based point of view. We show that a drastic improvement in performance over the b
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Epiphytic Trees: Relational Consistency Applied to Global Optimization Problems,ntees a backtrack-free solution. In this paper, we address Numerical Constrained global Optimization Problems (NCOPs) encoded as ternary networks, characterizing a class of such problems for which a combination of Generalized Arc-Consistency (GAC) and Relational Arc-Consistency (RAC) is sufficient t
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From Backdoor Key to Backdoor Completability: Improving a Known Measure of Hardness for the Satisfithe hardness of . CSP instances. In this context, the backdoor key fraction (BKF) [.] was introduced as a quantifier of problem hardness for individual satisfiable instances with regard to backtracking search. In our paper, after highlighting the weaknesses of the BKF, we propose a better characteri
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Chasing First Queens by Integer Programming,er. Since the 19th century, this problem was studied by many mathematicians and computer scientists. While finding any solution to the .-queens puzzle is rather straightforward, it is very challenging to find the lexicographically first (or smallest) feasible solution. Solutions for this type are kn
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Accelerating Counting-Based Search,a given variable-value assignment appears in order to build an integrated variable- and value-selection heuristic to solve constraint satisfaction problems. The information it collects has led to very effective search guidance in many contexts. However, depending on the constraint, computing such in
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