Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1803
Title: A cut-and-branch algorithm for the Quadratic Knapsack Problem
Authors: Djeumou Fomeni, Franklin
Kaparis, Konstantinos
Letchford, Adam N.
Type: Article
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: Knapsack problems
Cutting planes
Integer programming
Issue Date: 2022
Source: Discrete Optimization
Volume: 44
First Page: 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.
URI: https://doi.org/10.1016/j.disopt.2020.100579
https://ruomo.lib.uom.gr/handle/7000/1803
ISSN: 1572-5286
Other Identifiers: 10.1016/j.disopt.2020.100579
Appears in Collections:Department of Business Administration

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