Propagation Algorithms for the Minimum-Distance Constraint over Selected Points
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Propagation Algorithms for the Minimum-Distance Constraint over Selected Points

Direct propagation algorithms for selecting well-spaced points, including pairwise, global, advisor-backed, and matching-based variants.

Speaker
Mikael Zayenz Lagerkvist

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The talk compares direct Gecode implementations of the minimum-distance constraint with its usual quadratic decomposition. It follows the design from small pairwise propagators through advisors and a conflict-graph matching bound, then compares their behaviour on p-dispersion instances.