Experimental Study of Dynamic Single-Source Shortest Path Algorithm
In this paper, software Inet 3.0 is applied to generate topology, which randomly generates dynamic topology nodes. Based on dynamic shortest path algorithms put forward by P.Narvaez, Xiaobin et al, we analyzed the time efficiency of dynamic and static shortest path algorithms, the different time eff...
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| Veröffentlicht in: | Applied Mechanics and Materials Jg. 58-60; S. 1493 - 1498 |
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| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Zurich
Trans Tech Publications Ltd
01.06.2011
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| Schlagworte: | |
| ISBN: | 303785149X, 9783037851494 |
| ISSN: | 1660-9336, 1662-7482, 1662-7482 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | In this paper, software Inet 3.0 is applied to generate topology, which randomly generates dynamic topology nodes. Based on dynamic shortest path algorithms put forward by P.Narvaez, Xiaobin et al, we analyzed the time efficiency of dynamic and static shortest path algorithms, the different time efficiency inner dynamic shortest path algorithms, and the relationship of time efficiency between topology and dynamic shortest path algorithms. The result shows that Xiaobin algorithm is statistically better than Narvaez algorithm about 20-30 percent. Dynamic algorithms are not always better than static algorithms considering the amount of changed topology. Dynamic and static algorithms are roughly same when the amount of changed topology holds 10 percent. Dynamic algorithms perform better when less than 10 percent, otherwise static algorithms will be better. The time efficiency of dynamic algorithms is related to special topology. |
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| Bibliographie: | Selected, peer reviewed papers from the 2011 International Conference on Information Technology for Manufacturing Systems (ITMS 2011), Shanghai, China, May 7-8, 2011 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISBN: | 303785149X 9783037851494 |
| ISSN: | 1660-9336 1662-7482 1662-7482 |
| DOI: | 10.4028/www.scientific.net/AMM.58-60.1493 |