DocumentCode :
2828780
Title :
Steiner tree heuristic algorithm based on weight
Author :
Yang, Ning ; Hu, Yan
Author_Institution :
Sch. of Software, Dalian Univ. of Technol., Dalian, China
Volume :
3
fYear :
2010
fDate :
21-24 May 2010
Abstract :
The minimum Steiner tree problem, a classical combinatorial optimization problem with a long history, is a NP-complete problem. Due to its wide application, study of heuristic algorithm about Steiner tree problem has important practical and theoretical significance. In this paper, based on the MPH algorithm, give non-multicast nodes weights and calculate their average weight for the path through non-multicast nodes. Then modify the cost of the original path by average weight. The smaller average weight, the more priority the path is. Accordingly, it proposed MPH-BW algorithm. Experimental results show that computation time is shorter and solution is high quality in this algorithm.
Keywords :
computational complexity; optimisation; trees (mathematics); MPH-BW algorithm; NP-complete problem; Steiner tree heuristic algorithm; combinatorial optimization problem; minimum Steiner tree problem; minimum cost path heuristic algorithm; nonmulticast nodes weights; weighted algorithm; Approximation algorithms; Communication networks; Cost function; Evolutionary computation; Heuristic algorithms; Iterative algorithms; Multicast algorithms; Routing; Steiner trees; Tree graphs; Average weight; Heuristic algorithm; MPH algorithm; Steiner tree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
Type :
conf
DOI :
10.1109/ICFCC.2010.5497571
Filename :
5497571
Link To Document :
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