Motivation
The global cardinality constraint (gcc) [7], written as
states that each value d is received by at least ld and by at most ud of the variables {xj:j ∈ J}, where \(d\in D={\mathop{\textstyle \bigcup }}_{j\in J}D_{j}=\{0,\ldots ,|D|-1\};\) also, 0 ≤ l d ≤ ud and ud ≥ 1 for all d ∈ D. The gcc has several applications [2, 10], thus having been studied from the Constraint Programming community mainly for accomplishing various forms of consistency [4, 6–8] or for examining the tractability of a natural generalization [9].
This research has been co-financed by the European Union (European Social Fund – ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) - Research Funding Program: Thales. Investing in knowledge society through the European Social Fund.
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Mourtos, I. (2013). Tight LP-Relaxations of Overlapping Global Cardinality Constraints. In: Gomes, C., Sellmann, M. (eds) Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems. CPAIOR 2013. Lecture Notes in Computer Science, vol 7874. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38171-3_27
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