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New special cases of the Quadratic Assignment Problem with diagonally structured coefficient matrices

Eranda Çela, Vladimir Deineko and Gerhard J. Woeginger

European Journal of Operational Research, 2018, vol. 267, issue 3, 818-834

Abstract: We consider new polynomially solvable cases of the well-known Quadratic Assignment Problem involving coefficient matrices with a special diagonal structure. By combining the new special cases with polynomially solvable special cases known in the literature we obtain a new and larger class of polynomially solvable special cases of the QAP where one of the two coefficient matrices involved is a Robinson matrix with an additional structural property: this matrix can be represented as a conic combination of cut matrices in a certain normal form. The other matrix is a conic combination of a monotone anti-Monge matrix and a down-benevolent Toeplitz matrix. We consider the recognition problem for the special class of Robinson matrices mentioned above and show that it can be solved in polynomial time.

Keywords: Combinatorial optimization; Quadratic assignment; Robinsonian; Monge matrix; Kalmanson matrix (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:267:y:2018:i:3:p:818-834

DOI: 10.1016/j.ejor.2017.12.024

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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