Symmetry Breaking for Exact Solutions in Adjustable Robust Optimisation

Frontiers in Artificial Intelligence and Applications, pp. 741-+, 2014.

Cited by: 1|Views11


One of the key unresolved challenges in Adjustable Robust Optimisation is how to deal with large discrete uncertainty sets. In this paper we present a technique for handling such sets based on symmetry breaking ideas from Constraint Programming. In earlier work we applied the technique to a pre-disaster planning problem modelled as a two-...More



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