Results 11 to 20 of about 5,749 (206)
A cut-and-branch algorithm for the Quadratic Knapsack Problem [PDF]
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Djeumou Fomeni, Franklin +2 more
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The quadratic multiple knapsack problem (QMKP) is a well-studied problem in operations research. This problem involves selecting a subset of items that maximizes the linear and quadratic profit without exceeding a set of capacities for each knapsack ...
Diego Yanez-Oyarce +3 more
doaj +2 more sources
Lagrangian matheuristics for the Quadratic Multiple Knapsack Problem [PDF]
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Galli L., Martello S., Rey C., Toth P.
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Toward Practical Benchmarks of Ising Machines: A Case Study on the Quadratic Knapsack Problem
Combinatorial optimization has wide applications from industry to natural science. Ising machines bring an emerging computing paradigm for efficiently solving a combinatorial optimization problem by searching a ground state of a given Ising model ...
Kentaro Ohno +2 more
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QMKPy: A Python Testbed for the Quadratic Multiple Knapsack Problem [PDF]
QMKPy provides a Python framework for modeling and solving the quadratic multiple knapsack problem (QMKP). It is primarily aimed at researchers who develop new solution algorithms for the QMKP. QMKPy therefore mostly functions as a testbed to quickly implement novel algorithms and compare their results with existing ones.
Karl-Ludwig Besser, Eduard A. Jorswieck
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An iterated “hyperplane exploration” approach for the quadratic knapsack problem [PDF]
The quadratic knapsack problem (QKP) is a well-known combinatorial optimization problem with numerous applications. Given its NP-hard nature, finding optimal solutions or even high quality suboptimal solutions to QKP in the general case is a highly challenging task. In this paper, we propose an iterated “hyperplane exploration” approach (IHEA) to solve
Chen, Yuning, Hao, Jin-Kao
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Exact Solution Methods for the $k$-item Quadratic Knapsack Problem [PDF]
The purpose of this paper is to solve the 0-1 $k$-item quadratic knapsack problem $(kQKP)$, a problem of maximizing a quadratic function subject to two linear constraints. We propose an exact method based on semidefinite optimization.
A Billionnet +18 more
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Cacchiani V. +3 more
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A Hybrid Machine Learning–Metaheuristic Approach to Solving the Quadratic Multidimensional Knapsack Problem [PDF]
The quadratic multidimensional knapsack problem (QMdKP) is a combinatorial optimization problem that involves selecting a subset of items to maximize both linear and quadratic profits without exceeding the capacity constraints across multiple dimensions.
Jorge Tapia-Oñate, Carlos Rey
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On the rectangular knapsack problem: approximation of a specific quadratic knapsack problem [PDF]
AbstractIn this article, we introduce the rectangular knapsack problem as a special case of the quadratic knapsack problem consisting in the maximization of the product of two separate knapsack profits subject to a cardinality constraint. We propose a polynomial time algorithm for this problem that provides a constant approximation ratio of 4.5.
Britta Schulze +5 more
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