Title
Efficient Heuristics for Orientation Metric and Euclidean Steiner Tree Problems
Abstract
We consider Steiner minimum trees (SMT) in the plane, where only orientations with angle $${\sigma }$$ , 0 = i = s - 1 and s an integer, are allowed. The orientations define a metric, called the orientation metric, ?s, in a natural way. In particular, ?2 metric is the rectilinear metric and the Euclidean metric can beregarded as ?8 metric. In this paper, we provide a method to find an optimal ?s SMT for 3 or 4 points by analyzing the topology of ?s SMT's in great details. Utilizing these results and based on the idea of loop detection first proposed in Chao and Hsu, IEEE Trans. CAD, vol. 13, no. 3, pp. 303–309, 1994, we further develop an O(n2) time heuristic for the general ?s SMT problem, including the Euclidean metric. Experiments performed on publicly available benchmark data for 12 different metrics, plus the Euclidean metric, demonstrate the efficiency of our algorithms and the quality of our results.
Year
DOI
Venue
2000
10.1023/A:1009837006569
J. Comb. Optim.
Keywords
Field
DocType
Steiner tree problems,orientation metric,rectilinear metric,Euclidean metric,heuristics
Equivalence of metrics,Mathematical optimization,Fisher information metric,Combinatorics,Euclidean distance,Metric tree,Convex metric space,Metric (mathematics),Intrinsic metric,Metric space,Mathematics
Journal
Volume
Issue
ISSN
4
1
1573-2886
Citations 
PageRank 
References 
5
0.71
12
Authors
3
Name
Order
Citations
PageRank
Y. Y. Li150.71
Kwong-Sak Leung21887205.58
C. K. Wong31459513.44