Communication: A class of heuristics for the constrained forest problem

Authors:
Michael Laszlo;Sumitra Mukherjee
Affiliations:
Nova Southeastern University, Graduate School of Computer and Information Sciences 3301 College Avenue, Ft. Lauderdale, FL 33314, USA;Nova Southeastern University, Graduate School of Computer and Information Sciences 3301 College Avenue, Ft. Lauderdale, FL 33314, USA
Venue:
Discrete Applied Mathematics
Year:
2006

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Abstract

The constrained forest problem seeks a minimum-weight spanning forest in an undirected edge-weighted graph such that each tree spans at least a specified number of vertices. We present a structured class of greedy heuristics for this NP-hard problem, and identify the best heuristic.