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The bipartite quadratic assignment problem and extensions

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  • Punnen, Abraham P.
  • Wang, Yang

Abstract

We introduce a new binary quadratic program that subsumes the well known quadratic assignment problem. This problem is shown to be NP-hard when some associated parameters are restricted to simple values but solvable in polynomial time when some other parameter values are restricted. Three different neighborhood structures are introduced. A best solution in all these neighborhoods can be identified in polynomial time even though two of these neighborhoods are of exponential size. Different local search algorithms and their enhancements using tabu search are developed using these neighborhoods. Experimental analysis show that two hybrid algorithms obtained by combining these neighborhoods in specific ways yield results that are superior to the algorithms that use these neighborhoods separately. Extensive computational results and statistical analysis of the resulting data are presented.

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  • Punnen, Abraham P. & Wang, Yang, 2016. "The bipartite quadratic assignment problem and extensions," European Journal of Operational Research, Elsevier, vol. 250(3), pages 715-725.
    • Handle: RePEc:eee:ejores:v:250:y:2016:i:3:p:715-725
    DOI: 10.1016/j.ejor.2015.10.006
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    Cited by:

    1. Silva, Allyson & Coelho, Leandro C. & Darvish, Maryam, 2021. "Quadratic assignment problem variants: A survey and an effective parallel memetic iterated tabu search," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1066-1084.
    2. Vladyslav Sokol & Ante Ćustić & Abraham P. Punnen & Binay Bhattacharya, 2020. "Bilinear Assignment Problem: Large Neighborhoods and Experimental Analysis of Algorithms," INFORMS Journal on Computing, INFORMS, vol. 32(3), pages 730-746, July.

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