The quadratic knapsack problem

The quadratic knapsack problem is a relevant N P -hard combinatorial optimization problem, inspired, since the Seventies, by a number of real-world applications. After its formal definition in 1980, it was subject to intensive research, especially in the last two decades. No recent review on this problem appeared in the literature after a well-known survey, published in 2007 but updated to 2003. The purpose of this work is to provide a thorough overview of classical and recent results on the quadratic knapsack problem. We examine mathematical models, linearizations and reformulations. We review upper bounds, exact algorithms, heuristic and metaheuristic approaches, and provide a comparison of their computational performance. • Linearizations. • Upper bounds. • Exact algorithms. • Approximation algorithms and Heuristics. • Computational results.

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Publication Details

Journal
European Journal of Operational Research
Published
2024-12-26
DOI
https://doi.org/10.1016/j.ejor.2024.12.032
Citations
5
Primary Topic
Optimization and Packing Problems
Type
article
Field-Weighted Citation Impact
1.74
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article

The quadratic knapsack problem

Laura Galli, Silvano Martello, Paolo Toth
5 citations
European Journal of Operational Research
Optimization and Packing Problems
1.74
article

The quadratic knapsack problem

Laura Galli, Silvano Martello, Paolo Toth
article en
5 citations

Abstract

The quadratic knapsack problem is a relevant N P -hard combinatorial optimization problem, inspired, since the Seventies, by a number of real-world applications. After its formal definition in 1980, it was subject to intensive research, especially in the last two decades. No recent review on this problem appeared in the literature after a well-known survey, published in 2007 but updated to 2003. The purpose of this work is to provide a thorough overview of classical and recent results on the quadratic knapsack problem. We examine mathematical models, linearizations and reformulations. We review upper bounds, exact algorithms, heuristic and metaheuristic approaches, and provide a comparison of their computational performance. • Linearizations. • Upper bounds. • Exact algorithms. • Approximation algorithms and Heuristics. • Computational results.

European Journal of Operational ResearchVol. 326(1)
University of Bologna (IT)
Openalex Percentile: Top 13%
Optimization and Packing Problems
1.74
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The quadratic knapsack problem — Laura Galli, Silvano Martello, et al. · European Journal of Operational Research (2024) | TGRS Research Map | TGRS