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Abstract:
A key ingredient of the most successful algorithms for the Steiner problem are reduction methods, i.e. methods to reduce the size of a given instance while preserving at least one optimal solution (or the
ability to efficiently reconstruct one). While classical reduction tests just inspected simple patterns (vertices or edges), recent and more sophisticated tests extend the scope of inspection to more general patterns (like
trees). In this paper, we present such an extended reduction test, which generalizes different tests in the literature. We use the new approach of combining alternative- and bound-based methods, which
substantially improves the impact of the tests. We also present several algorithmic improvements, especially for the computation of the needed information. The experimental results show a substantial improvement over previous methods using the idea of extension.
