Results 11 to 20 of about 5,749 (206)

A cut-and-branch algorithm for the Quadratic Knapsack Problem [PDF]

open access: greenDiscrete Optimization, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Djeumou Fomeni, Franklin   +2 more
openaire   +2 more sources

Machine Learning-Driven Optimization for Solution Space Reduction in the Quadratic Multiple Knapsack Problem

open access: goldIEEE Access
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]

open access: greenDiscrete Applied Mathematics, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Galli L., Martello S., Rey C., Toth P.
openaire   +5 more sources

Toward Practical Benchmarks of Ising Machines: A Case Study on the Quadratic Knapsack Problem

open access: goldIEEE Access
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
doaj   +2 more sources

QMKPy: A Python Testbed for the Quadratic Multiple Knapsack Problem [PDF]

open access: diamondJournal of Open Source Software, 2022
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
openaire   +3 more sources

An iterated “hyperplane exploration” approach for the quadratic knapsack problem [PDF]

open access: greenComputers & Operations Research, 2017
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
openaire   +4 more sources

Exact Solution Methods for the $k$-item Quadratic Knapsack Problem [PDF]

open access: green, 2016
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
core   +3 more sources

Knapsack problems — An overview of recent advances. Part II: Multiple, multidimensional, and quadratic knapsack problems

open access: greenComputers & Operations Research, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cacchiani V.   +3 more
openaire   +5 more sources

A Hybrid Machine Learning–Metaheuristic Approach to Solving the Quadratic Multidimensional Knapsack Problem [PDF]

open access: goldMathematics
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
doaj   +2 more sources

On the rectangular knapsack problem: approximation of a specific quadratic knapsack problem [PDF]

open access: yesMathematical Methods of Operations Research, 2020
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
openaire   +2 more sources

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