Best network flow bounds for the quadratic knapsack problem
COMO '86 Lectures given at the third session of the Centro Internazionale Matematico Estivo (C.I.M.E.) on Combinatorial optimization
On combined minmax-minsum optimization
Computers and Operations Research
Linear-time computability of combinatorial problems on series-parallel graphs
Journal of the ACM (JACM)
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Expert Systems with Applications: An International Journal
Minimum deviation and balanced optimization: A unified approach
Operations Research Letters
The quadratic 0-1 knapsack problem with series-parallel support
Operations Research Letters
Semi-greedy heuristics: An empirical study
Operations Research Letters
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In this paper we study the quadratic bottleneck knapsack problem (QBKP) from an algorithmic point of view. QBKP is shown to be NP-hard and it does not admit polynomial time 驴-approximation algorithms for any 驴0 (unless P=NP). We then provide exact and heuristic algorithms to solve the problem and also identify polynomially solvable special cases. Results of extensive computational experiments are reported which show that our algorithms can solve QBKP of reasonably large size and produce good quality solutions very quickly. Several variations of QBKP are also discussed.