• DocumentCode
    2916823
  • Title

    A new hybrid Genetic Algorithm for solving the Bounded Diameter Minimum Spanning Tree problem

  • Author

    Binh, Huynh Thi Thannh ; Hoai, Nguyen Xuan ; McKay, R. I Bob

  • Author_Institution
    Dept. of Inf. Technol., Hanoi Univ. of Technol., Hanoi
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    3128
  • Lastpage
    3134
  • Abstract
    In this paper, a new hybrid genetic algorithm - known as HGA - is proposed for solving the bounded diameter minimum spanning tree (BDMST) problem. We experiment with HGA on two sets of benchmark problem instances, both Euclidean and Non-Euclidean. On the Euclidean problem instances, HGA is shown to outperform the previous best two genetic algorithms (GAs) reported in the BDMST literature, while on the Non-Euclidean problem instance, HGA performs comparably with these two GAs.
  • Keywords
    genetic algorithms; trees (mathematics); Euclidean problem instance; HGA; bounded diameter minimum spanning tree problem; hybrid genetic algorithm; nonEuclidean problem instance; Evolutionary computation; Genetic algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-1822-0
  • Electronic_ISBN
    978-1-4244-1823-7
  • Type

    conf

  • DOI
    10.1109/CEC.2008.4631221
  • Filename
    4631221