Given a set of points in the Euclidean plane, the Euclidean textit{$delta$-minimum spanning tree} ($delta$-MST) problem is the problem of finding a spanning tree with maximum degree no more than $delta$ for the set of points such the sum of the total length of its edges is minimum. Similarly, the Euclidean textit{$delta$-minimum bottleneck spanning tree} ($delta$-MBST) problem, is the problem of finding a degree-bounded spanning tree for a set of points in the plane such that the length of the longest edge is minimum. When $delta leq 4$, these two problems may yield disjoint sets of optimal solutions for the same set of points. In this paper, we perform computational experiments to compare the accuracies of a variety of heuristic and approximation algorithms for both these problems. We develop heuristics for these problems and compare them with existing algorithms. We also describe a new type of edge swap algorithm for these problems that outperforms all the algorithms we tested.
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