A parallel algorithm for the degree-constrained minimum spanning tree problem using nearest-neighbor chains
The Minimum Spanning Tree (MST) problem with an added constraint that no node in the spanning tree has the degree more than a specified integer d, is known as the Degree-Constrained MST (d-MST) problem. Since computing the d-MST is NP-hard for every d in the range 2/spl les/d/spl les/(n-2) where n d...
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| Veröffentlicht in: | Proceedings / International Symposium on Parallel Architectures, Algorithms, and Networks (ISPAN) S. 184 - 189 |
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| Hauptverfasser: | , , |
| Format: | Tagungsbericht Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
1999
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| Schlagworte: | |
| ISBN: | 0769502318, 9780769502311 |
| ISSN: | 1087-4089 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | The Minimum Spanning Tree (MST) problem with an added constraint that no node in the spanning tree has the degree more than a specified integer d, is known as the Degree-Constrained MST (d-MST) problem. Since computing the d-MST is NP-hard for every d in the range 2/spl les/d/spl les/(n-2) where n denotes the total number of nodes, several approximate algorithms have been proposed in the literature. We have previously proposed two approximate algorithms, TC-RNN and IR, for the d-MST problem (L.J. Mao et al., 1997). Our experimental results show that while the IR algorithm is faster, the TC-RNN algorithm consistently produces spanning trees with a smaller weight. We propose a new algorithm, TC-NNC, which is an improved version of TC-RNN. Our experiments using randomly generated, weighted graphs as input, demonstrate that the execution time of TC-NNC is smaller than that of TC-RNN, and is very close to that of IR. Further, the quality-of-solution of TC-NNC is better than that of IR and is very close to that of TC-RNN. |
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| Bibliographie: | SourceType-Scholarly Journals-2 ObjectType-Feature-2 ObjectType-Conference Paper-1 content type line 23 SourceType-Conference Papers & Proceedings-1 ObjectType-Article-3 |
| ISBN: | 0769502318 9780769502311 |
| ISSN: | 1087-4089 |
| DOI: | 10.1109/ISPAN.1999.778937 |

