ℚ-bounds consistency for the spread constraint with variable mean
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The spread constraint enforces a relationship amongst a set of variables, their mean, and their standard deviation. The ℚ-bounds consistency (BC) algorithms that have been formally published and the implementations of which we are aware all assume a fixed mean value. A sketch of the BC algorithm with variable mean was proposed, which relies on the continuity property of a key function used in the fixed mean case. We show that this function may be piecewise discontinuous, meaning that the extension of the algorithm to the variable mean case that is suggested in the literature is unsound. We propose a simple modification of the algorithm that achieves ℚ-BC with variable mean.
KeywordsPropagation Algorithm Maximum Standard Deviation Current Interval Bound Consistency Discontinuous Property
- 2.Pesant, G., & Régin, J.C. (2005). Spread: a balancing constraint based on statistics. In Principles and Practice of Constraint Programming-CP 2005 (pp. 460–474): Springer.Google Scholar
- 3.Schaus, P., Deville, Y., Dupont, P., & Régin, J.C. (2006). Simplification and extension of the spread constraint. In Third international workshop on constraint propagation and implementation (pp. 77–91).Google Scholar
- 4.Schaus, P., & Régin, J.C. (2013). Bound-consistent spread constraint. EURO Journal on Computational Optimization, 1–24.Google Scholar