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
Link To Document