Skip to main content
Log in

An LP-based characterization of solvable QAP instances with chess-board and graded structures

  • Published:
Journal of Combinatorial Optimization Aims and scope Submit manuscript

Abstract

The quadratic assignment problem (QAP) is perhaps the most widely studied nonlinear combinatorial optimization problem. It has many applications in various fields, yet has proven to be extremely difficult to solve. This difficulty has motivated researchers to identify special objective function structures that permit an optimal solution to be found efficiently. Previous work has shown that certain such structures can be explained in terms of a mixed 0–1 linear reformulation of the QAP known as the level-1 reformulation–linearization-technique (RLT) form. Specifically, the objective function structures were shown to ensure that a binary optimal extreme point solution exists to the continuous relaxation. This paper extends that work by considering classes of solvable cases in which the objective function coefficients have special chess-board and graded structures, and similarly characterizing them in terms of the level-1 RLT form. As part of this characterization, we develop a new relaxed version of the level-1 RLT form, the structure of which can be readily exploited to study the special instances under consideration.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Availability of data and materials

Not applicable.

References

  • Adams W, Guignard M, Hahn P, Hightower W (2007) A level-2 reformulation-linearization technique bound for the quadratic assignment problem. Eur J Oper Res 180(3):983–996

    Article  MathSciNet  MATH  Google Scholar 

  • Adams W, Johnson T (1994) Improved linear programming-based lower bounds for the quadratic assignment problem. DIMACS Ser Discrete Math Theoret Comput Sci 16:43–75

    Article  MathSciNet  MATH  Google Scholar 

  • Adams W, Sherali H (2005) A hierarchy of relaxations leading to the convex hull representation for general discrete optimization problems. Ann Oper Res 140(1):21–47

    Article  MathSciNet  MATH  Google Scholar 

  • Adams W, Sherali H (1986) A tight linearization and an algorithm for zero-one quadratic programming problems. Manage Sci 32(10):1274–1290

    Article  MathSciNet  MATH  Google Scholar 

  • Adams W, Sherali H (1990) Linearization strategies for a class of zero-one mixed integer programming problems. Oper Res 38(2):217–226

    Article  MathSciNet  MATH  Google Scholar 

  • Adams W, Sherali H (1993) Mixed integer bilinear programming problems. Math Program 59(3):279–305

    Article  MathSciNet  MATH  Google Scholar 

  • Adams W, Waddell L (2014) Linear programming insights into solvable cases of the quadratic assignment problem. Discret Optim 14:46–60

    Article  MathSciNet  MATH  Google Scholar 

  • Anstreicher K, Brixius N, Goux J, Linderoth J (2002) Solving large quadratic assignment problems on computational grids. Math Program 91(3):563–588

    Article  MathSciNet  MATH  Google Scholar 

  • Burkard RE, Çela E, Demidenko V, Metelski N, Woeginger G (1997) Perspectives of easy and hard cases of the quadratic assignment problem. SFB Report 104, Institute of Mathematics, Technical University, Graz, Austria

  • Burkard RE, Çela E, Pardalos P, Pitsoulis L (1998) The quadratic assignment problem. Handb Comb Optim 3:241–338

    MathSciNet  MATH  Google Scholar 

  • Burkard RE, Çela E, Rote G, Woeginger G (1998) The quadratic assignment problem with a monotone anti-Monge matrix and a symmetric Toeplitz matrix: easy and hard cases. Math Program 82(1–2):125–158

    Article  MathSciNet  MATH  Google Scholar 

  • Burkard RE, Klinz B, Rudolf R (1996) Perspectives of Monge properties in optimization. Discret Appl Math 70:95–161

    Article  MathSciNet  MATH  Google Scholar 

  • Burkard RE, Offermann J (1977) Entwurf von Schreibmaschinentastaturen mittels quadratischer Zuordnungsprobleme. Z Oper Res 21:B121–B132

    MATH  Google Scholar 

  • Çela E (1998) The quadratic assignment problem: theory and algorithms. Kluwer Academic Publishers, Dordrecht

    Book  MATH  Google Scholar 

  • Çela E, Deineko VG, Woeginger G (2012) Another well-solvable case of the QAP: Maximizing the job completion time variance. Oper Res Lett 40(6):356–359

    Article  MathSciNet  MATH  Google Scholar 

  • Çela E, Deineko VG, Woeginger G (2015) Well-solvable cases of the QAP with block-structured matrices. Discret Appl Math 186:56–65

    Article  MathSciNet  MATH  Google Scholar 

  • Deineko VG, Woeginger G (1998) A solvable case of the quadratic assignment problem. Oper Res Lett 22(1):13–17

    Article  MathSciNet  MATH  Google Scholar 

  • Dickey J, Hopkins J (1972) Campus building arrangement using TOPAZ. Transp Res 6(1):59–68

    Article  Google Scholar 

  • Elshafei A (1977) Hospital layout as a quadratic assignment problem. Oper Res Quart 28(1):167–179

    Article  MATH  Google Scholar 

  • Erdoğan G, Tansel B (2006) A note on a polynomial time solvable case of the quadratic assignment problem. Discret Optim 3(4):382–384

    Article  MathSciNet  MATH  Google Scholar 

  • Erdoğan G, Tansel B (2011) Two classes of quadratic assignment problems that are solvable as linear assignment problems. Discret Optim 8(3):446–451

    Article  MathSciNet  MATH  Google Scholar 

  • Geoffrion A, Graves G (1976) Scheduling parallel production lines with changeover costs: practical applications of a quadratic assignment/LP approach. Oper Res 24(4):595–610

    Article  MATH  Google Scholar 

  • Gonçalves AD, Pessoa AA, Bentes C, Farias R, Drummond LM (2017) A graphics processing unit algorithm to solve the quadratic assignment problem using level-2 reformulation-linearization technique. INFORMS J Comput 29(4):676–687

    Article  MathSciNet  MATH  Google Scholar 

  • Hahn PM, Krarup J (2001) A hospital facility problem finally solved. J Intell Manuf 12(5–6):487–496

    Article  Google Scholar 

  • Hahn PM, Zhu Y-R, Guignard M, Hightower W, Saltzman MJ (2012) A level-3 reformulation-linearization technique bound for the quadratic assignment problem. INFORMS J Comput 24(2):202–209

    Article  MathSciNet  MATH  Google Scholar 

  • John M, Karrenbauer A (2019) Dynamic sparsification for quadratic assignment problems. In: Khachay M, Kochetov Y, Pardalos P (eds) Mathematical optimization theory and operations research. MOTOR 2019. Lecture notes in computer science 11548. Springer, Cham

    Google Scholar 

  • Johnson T (1992) New linear programming-based solution procedures for the quadratic assignment problem, PhD Dissertation, Clemson University

  • Kabadi SN, Punnen AP (2011) An \(O(n^4)\) algorithm for the QAP linearization problem. Math Oper Res 36(4):754–761

    Article  MathSciNet  MATH  Google Scholar 

  • Koopmans T, Beckmann M (1957) Assignment problems and the location of economic activities. Econometrica 25(1):53–76

    Article  MathSciNet  MATH  Google Scholar 

  • Krarup J, Pruzan P (1978) Computer-aided layout design. In: Balinski ML, Lemarechal C (eds) Mathematical programming in use. North-Holland Publishing Company, Amsterdam, pp 75–94

    Chapter  Google Scholar 

  • Laurent M, Seminaroti M (2015) The quadratic assignment problem is easy for Robinsonian matrices with Toeplitz structure. Oper Res Lett 43(1):103–109

    Article  MathSciNet  MATH  Google Scholar 

  • Loiola EM, Maia de Abreu NM, Boaventura-Netto PO, Hahn PM, Querido T (2007) A survey for the quadratic assignment problem. Eur J Oper Res 176(2):657–690

    Article  MathSciNet  MATH  Google Scholar 

  • Pardalos PM, Rendl F, Wolkowicz H (1994) The quadratic assignment problem: a survey and recent developments. DIMACS Ser Discrete Math Theoret Comput Sci 16:1–42

    Article  MathSciNet  MATH  Google Scholar 

  • Punnen AP, Kabadi SN (2013) A linear time algorithm for the Koopmans-Beckmann QAP linearization and related problems. Discret Optim 10(3):200–209

    Article  MathSciNet  MATH  Google Scholar 

  • Sherali H, Adams W (1994) A hierarchy of relaxations and convex hull characterizations for mixed-integer zero-one programming problems. Discret Appl Math 52(1):83–106

    Article  MathSciNet  MATH  Google Scholar 

  • Sherali H, Adams W (1990) A hierarchy of relaxations between the continuous and convex hull representations for zero-one programming problems. SIAM J Discret Math 3(3):411–430

    Article  MathSciNet  MATH  Google Scholar 

  • Sherali H, Adams W (1999) A reformulation-linearization technique for solving discrete and continuous nonconvex problems. Kluwer Academic Publishers, Dordrecht/Boston/London

    Book  MATH  Google Scholar 

  • Steinberg L (1961) The backboard wiring problem: a placement algorithm. SIAM Rev 3(1):37–50

    Article  MathSciNet  MATH  Google Scholar 

  • Ugi I, Bauer J, Friedrich J, Gasteiger J, Jochum C, Schubert W (1979) Neue anwendungsgebiete für computer in der chemie. Angew Chem 91:99–111

    Article  Google Scholar 

  • Waddell L, Adams W (2021) Characterizing linearizable QAPs by the level-1 reformulation-linearization technique, http://www.optimization-online.org/DB_FILE/2021/03/8308.pdf

Download references

Funding

Author L. Waddell’s work was supported by Department of Navy award N00014-20-1-2072 issued by the Office of Naval Research. Author T. Liu’s work was supported by Bucknell University’s Program for Undergraduate Research.

Author information

Authors and Affiliations

Authors

Contributions

This study was conceived by authors L. Waddell and J. Phillips. All authors contributed to the development and proofs of the theoretical results contained in this paper. All authors contributed to, read, and approved the final manuscript.

Corresponding author

Correspondence to Lucas A. Waddell.

Ethics declarations

Conflict of interest

Not applicable.

Consent for publication

Not applicable.

Ethical approval

Not applicable.

Consent to participate

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The work relates to Department of Navy award N00014-20-1-2072 issued by the Office of Naval Research. The United States Government has a royalty-free license throughout the world in all copyrightable material contained herein. The authors would also like to thank Bucknell University’s Program for Undergraduate Research for its support.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Waddell, L.A., Phillips, J.L., Liu, T. et al. An LP-based characterization of solvable QAP instances with chess-board and graded structures. J Comb Optim 45, 114 (2023). https://doi.org/10.1007/s10878-023-01044-3

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10878-023-01044-3

Keywords

Navigation