The quadratic knapsack problem—a survey

The binary quadratic knapsack problem maximizes a quadratic objective function subject to a linear capacity constraint. Due to its simple structure and challenging difficulty it has been studied intensively during the last two decades. The present paper gives a survey of upper bounds presented in th...

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Vydáno v:Discrete Applied Mathematics Ročník 155; číslo 5; s. 623 - 648
Hlavní autor: Pisinger, David
Médium: Journal Article
Jazyk:angličtina
Vydáno: Lausanne Elsevier B.V 15.03.2007
Amsterdam Elsevier
New York, NY
Témata:
ISSN:0166-218X, 1872-6771
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Shrnutí:The binary quadratic knapsack problem maximizes a quadratic objective function subject to a linear capacity constraint. Due to its simple structure and challenging difficulty it has been studied intensively during the last two decades. The present paper gives a survey of upper bounds presented in the literature, and show the relative tightness of several of the bounds. Techniques for deriving the bounds include relaxation from upper planes, linearization, reformulation, Lagrangian relaxation, Lagrangian decomposition, and semidefinite programming. A short overview of heuristics, reduction techniques, branch-and-bound algorithms and approximation results is given, followed by an overview of valid inequalities for the quadratic knapsack polytope. The paper is concluded by an experimental study where the upper bounds presented are compared with respect to strength and computational effort.
ISSN:0166-218X
1872-6771
DOI:10.1016/j.dam.2006.08.007