A cut-and-branch algorithm for the quadratic knapsack problem

Djeumou Fomeni, Franklin and Kaparis, Konstantinos and Letchford, Adam (2022) A cut-and-branch algorithm for the quadratic knapsack problem. Discrete Optimization, 44 (2). ISSN 1572-5286

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Official URL: https://doi.org/10.1016/j.disopt.2020.100579

Abstract

The Quadratic Knapsack Problem (QKP) is a well-known NP-hard combinatorial optimisation problem, with many practical applications. We present a ‘cut-and-branch’ algorithm for the QKP, in which a cutting-plane phase is followed by a branch-and-bound phase. The cutting-plane phase is more sophisticated than the existing ones in the literature, incorporating several classes of cutting planes, two primal heuristics, and several rules for eliminating variables and constraints. Computational results show that the algorithm is competitive.

Item Type:

Journal Article

Journal or Publication Title:

Discrete Optimization

Additional Information:

This is the author’s version of a work that was accepted for publication in Discrete Optimization. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Discrete Optimization, 44, 2, 2022 DOI: 10.1016/j.disopt.2020.100579

Uncontrolled Keywords:

/dk/atira/pure/subjectarea/asjc/2600/2604

Subjects:

Departments:

Lancaster University Management School > Management Science

ID Code:

141820

Deposited By:

ep_importer_pure

Deposited On:

24 Feb 2020 16:25

Refereed?: