The assignment problem revisited

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  • Published: 16 August 2021
  • Volume 16 , pages 1531–1548, ( 2022 )

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  • Carlos A. Alfaro   ORCID: orcid.org/0000-0001-9783-8587 1 ,
  • Sergio L. Perez 2 ,
  • Carlos E. Valencia 3 &
  • Marcos C. Vargas 1  

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First, we give a detailed review of two algorithms that solve the minimization case of the assignment problem, the Bertsekas auction algorithm and the Goldberg & Kennedy algorithm. It was previously alluded that both algorithms are equivalent. We give a detailed proof that these algorithms are equivalent. Also, we perform experimental results comparing the performance of three algorithms for the assignment problem: the \(\epsilon \) - scaling auction algorithm , the Hungarian algorithm and the FlowAssign algorithm . The experiment shows that the auction algorithm still performs and scales better in practice than the other algorithms which are harder to implement and have better theoretical time complexity.

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Acknowledgements

This research was partially supported by SNI and CONACyT.

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Carlos A. Alfaro & Marcos C. Vargas

Mountain View, CA, 94043, USA

Sergio L. Perez

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Alfaro, C.A., Perez, S.L., Valencia, C.E. et al. The assignment problem revisited. Optim Lett 16 , 1531–1548 (2022). https://doi.org/10.1007/s11590-021-01791-4

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Received : 26 March 2020

Accepted : 03 August 2021

Published : 16 August 2021

Issue Date : June 2022

DOI : https://doi.org/10.1007/s11590-021-01791-4

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  1. Assignment Problem in Linear Programming : Introduction and

    Following steps are involved in solving this Assignment problem, 1. Locate the smallest cost element in each row of the given cost table starting with the first row. Now, this smallest element is subtracted form each element of that row. So, we will be getting at least one zero in each row of this new table.

  2. Solving Assignment Problem using Linear Programming in Python

    In this step, we will solve the LP problem by calling solve () method. We can print the final value by using the following for loop. From the above results, we can infer that Worker-1 will be assigned to Job-1, Worker-2 will be assigned to job-3, Worker-3 will be assigned to Job-2, and Worker-4 will assign with job-4.

  3. The assignment problem revisited

    The assignment problem can be modeled as a linear program, with the property that its associated polyhedron has all the vertices integer valued. Therefore, this problem can be solved using general linear programming techniques. The problem with these techniques is that they do not perform well in practice.