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author:

Chen, Guo-Long (Chen, Guo-Long.) [1] (Scholars:陈国龙) | Guo, Wen-Zhong (Guo, Wen-Zhong.) [2] (Scholars:郭文忠) | Tu, Xue-Zhu (Tu, Xue-Zhu.) [3] | Chen, Huo-Wang (Chen, Huo-Wang.) [4]

Indexed by:

EI Scopus PKU CSCD

Abstract:

The multi-criteria minimum spanning tree (mc-MST) problem is a typical NP-hard problem. An algorithm to enumerate the set of Pareto optimal spanning trees on some mc-MST instances was put forward by Zhou and Gen, but it does not guarantee returning all the Pareto optimal solutions. To settle this problem, an improved algorithm is developed and also proved to be able to find all the true Pareto optimal solutions in this paper. The new algorithm adds some conditions in the elimination of subtrees. Simulation results show that the new algorithm can find all the Pareto optimal solutions and also show that the new algorithm has potential usage in practice.

Keyword:

Computational complexity Genetic algorithms Optimization

Community:

  • [ 1 ] [Chen, Guo-Long]School of Computer, National University of Defense Technology, Changsha 410073, China
  • [ 2 ] [Chen, Guo-Long]Institute of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China
  • [ 3 ] [Guo, Wen-Zhong]Institute of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China
  • [ 4 ] [Tu, Xue-Zhu]Institute of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China
  • [ 5 ] [Chen, Huo-Wang]School of Computer, National University of Defense Technology, Changsha 410073, China

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Source :

Journal of Software

ISSN: 1000-9825

CN: 11-2560/TP

Year: 2006

Issue: 3

Volume: 17

Page: 364-370

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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