On the complexity of surrogate and group relaxation for integer linear programs

Trivikram Dokka; Adam Letchford; Hasan  Mansoor

doi:10.1016/j.orl.2021.05.011

On the complexity of surrogate and group relaxation for integer linear programs

Trivikram Dokka
, Adam Letchford
, Hasan Mansoor

Queen's Business School (QBS)

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

125 Downloads (Pure)

Abstract

Surrogate and group relaxation have been used to compute bounds for various integer linear programming problems. We prove that (a) when only inequalities are surrogated, the surrogate dual is NP-hard, but solvable in pseudo-polynomial time under certain conditions; (b) when equations are surrogated, the surrogate dual exhibits unusual complexity behaviour; (c) the group relaxation is NP-hard for the
integer and 0-1 knapsack problems, and strongly NP-hard for the set packing problem.

Original language	English
Pages (from-to)	530-534
Number of pages	5
Journal	Operations Research Letters
Volume	49
Issue number	4
Early online date	31 May 2021
DOIs	https://doi.org/10.1016/j.orl.2021.05.011
Publication status	Published - 01 Jul 2021

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On the complexity of surrogate and group relaxation for integer linear programs
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Cite this

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AB - Surrogate and group relaxation have been used to compute bounds for various integer linear programming problems. We prove that (a) when only inequalities are surrogated, the surrogate dual is NP-hard, but solvable in pseudo-polynomial time under certain conditions; (b) when equations are surrogated, the surrogate dual exhibits unusual complexity behaviour; (c) the group relaxation is NP-hard for the integer and 0-1 knapsack problems, and strongly NP-hard for the set packing problem.

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On the complexity of surrogate and group relaxation for integer linear programs

Abstract

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