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On the Implementation of MST-Based Heuristics for the Steiner Problem in Graphs

  • Marcus Poggi de Aragão
  • Renato F. Werneck
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2409)

Abstract

Some of the most widely used constructive heuristics for the Steiner Problem in Graphs are based on algorithms for the Minimum Spanning Tree problem. In this paper, we examine efficient implementations of heuristics based on the classic algorithms by Prim, Kruskal, and Borůvka. An extensive experimental study indicates that the theoretical worst-case complexity of the algorithms give little information about their behavior in practice. Careful implementation improves average computation times not only significantly, but asymptotically. Running times for our implementations are within a small constant factor from that of Prim’s algorithm for the Minimum Spanning Tree problem, suggesting that there is little room for improvement.

Keywords

Short Path Voronoi Diagram Partial Solution Steiner Tree Steiner Tree Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Marcus Poggi de Aragão
    • 1
  • Renato F. Werneck
    • 1
    • 2
  1. 1.Department of InformaticsCatholic University of Rio de JaneiroRio de Janeiro, RJBrazil
  2. 2.Department of Computer SciencePrinceton UniversityPrinceton

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