求解多目标最小生成树问题的改进算法
作者:
基金项目:

Supported by the National Natural Science Foundation of China under Grant No.60172017(国家自然科学基金);the Natural Science Foundation of Fujian Province of China under Grant No.A0410010(福建省自然科学基金);the Natural Science Foundation of Fujian Provincial Educational Commission of China under Grant No.K03012(福建省教育厅科技三项科研项目)

  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [7]
  • |
  • 相似文献 [20]
  • |
  • 引证文献
  • | |
  • 文章评论
    摘要:

    多目标最小生成树问题是典型的NP问题,Zhou和Gen提出了一种用于计数多目标最小生成树问题的所有非劣最优最小生成树的算法,但该算法无法保证能够找到所有非劣最优最小生成树.针对此问题,提出一种改进的计数算法,并定性说明改进算法能够找到问题的所有非劣最优最小生成树.改进算法在进行子树剔除时增加了一些条件.模拟实验结果表明,改进后的计数算法能够找到所有的非劣最优解.这也说明该算法具有应用的潜力.

    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.

    参考文献
    [1]Yan WM,Wu WM.Data Structure.2nd ed.Beijing:Tsinghua University Press,1992.168-174 (in Chinese).
    [2]Zhou GG,Gen M.Genetic algorithm approach on multi-criteria minimum spanning tree problem.European Journal of Operational Research,1999,114(1):141-152.
    [3]Knowles JD.Local-Search and hybrid evolutionary algorithms for Pareto optimization[Ph.D.Thesis].University of Reading,RG66AY,2002.
    [4]Srinivas N,Deb K.Multiobjective optimization using non-dominated sorting in genetic algorithms.Evolutionary Computation,1995,2(3):221-248.
    [5]Gottlieb J,Julstrom BA,Raidl GR,Rothlauf F.Prüifer numbers:A poor representation of spanning trees for evolutionary search.In:Spector L,Goodman E,Wu A,Langdon W,Voigt HW,Gen M,Sen S,Dorigo M,Pezeshk S,Garzon M,Burke E,eds.Proc.of the 2001 Genetic and Evolutionary Computation Conf.San Francisco:Morgan Kaufmann Publishers,2000.343-350.
    [6]Xie T,Chen HW,Kang LS.Evolutionary algorithms of multi-objective optimization problems.Chinese Journal of Computers,2003,26(8):997-1003 (in Chinese with English abstract). [1]严蔚敏,吴伟民.数据结构.第2版,北京:清华大学出版社,1992.168-174.
    [6]谢涛,陈火旺,康立山.多目标优化的演化算法.计算机学报,2003,26(8):997-1003.
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

陈国龙,郭文忠,涂雪珠,陈火旺.求解多目标最小生成树问题的改进算法.软件学报,2006,17(3):364-370

复制
相关视频

分享
文章指标
  • 点击次数:4394
  • 下载次数: 7631
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 收稿日期:2004-04-15
  • 最后修改日期:2005-03-10
文章二维码
您是第19939675位访问者
版权所有:中国科学院软件研究所 京ICP备05046678号-3
地址:北京市海淀区中关村南四街4号,邮政编码:100190
电话:010-62562563 传真:010-62562533 Email:jos@iscas.ac.cn
技术支持:北京勤云科技发展有限公司

京公网安备 11040202500063号