• DocumentCode
    3333117
  • Title

    A comparison study of optimization methods for the bipartite matching problem (BMP)

  • Author

    Goldstein, M. ; Toomarian, N. ; Barhen, J.

  • Author_Institution
    Oak Ridge Nat. Lab., TN, USA
  • fYear
    1988
  • fDate
    24-27 July 1988
  • Firstpage
    267
  • Abstract
    A comparison study of optimization methods for the bipartite matching problem (BMP) with independent random distances between the points is presented. It is shown that the results obtained are in reasonable agreement with the theoretical prediction despite the relatively small samples considered. In the first four intervals, which include more than 80% of the valid solutions considered, the theoretical results are within one standard deviation of the results obtained by all methodologies. The average computation times per valid solution obtained using VSA (variant of simulated annealing) is superior to the average time of other methodologies. Another interesting result is the fact that the MSA (microcanonical simulated annealing) average time is as much as four times smaller than the FSA (fast simulated annealing) average time.<>
  • Keywords
    iterative methods; optimisation; pattern recognition; bipartite matching problem; fast simulated annealing; independent random distances; microcanonical simulated annealing; pairwise matching; pattern recognition; sum of pairwise distances minimisation; Iterative methods; Optimization methods; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1988., IEEE International Conference on
  • Conference_Location
    San Diego, CA, USA
  • Type

    conf

  • DOI
    10.1109/ICNN.1988.23938
  • Filename
    23938