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K-Best Assignment Algorithm

version 1.0.0.0 (4.29 KB) by Eric Trautmann
Implementation of Murty's algorithm for a ranked list of best assignment solutions.

1.7K Downloads

Updated 23 Mar 2011

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This implementation is based on the 1968 Murty algorithm for finding a ranked list of the best assignments for an arbitrary cost matrix.

This algorithm uses a user-supplied assignment algorithm, such as the Munkres (Hungarian) algorithm or the JV algorithm to obtain an arbitrary number of best assignment solutions.

Implementations of Munkres and JV algorithms by Yi Cao can be found here:

Munkres: http://www.mathworks.com/matlabcentral/fileexchange/20328

JV: http://www.mathworks.com/matlabcentral/fileexchange/26836

Cite As

Eric Trautmann (2022). K-Best Assignment Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/30837-k-best-assignment-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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