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Max–max, max–min, min–max and min–min knapsack problems with a parametric constraint

Nir Halman (), Mikhail Y. Kovalyov () and Alain Quilliot ()
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Nir Halman: Bar-Ilan University
Mikhail Y. Kovalyov: National Academy of Sciences of Belarus
Alain Quilliot: Université Blaise Pascal

4OR, 2023, vol. 21, issue 2, No 3, 235-246

Abstract: Abstract Max–max, max–min, min–max and min–min optimization problems with a knapsack-type constraint containing a single numerical parameter are studied. The goal is to present optimal solutions for all possible values of the parameter. Algorithms with $$O(n\log n)$$ O ( n log n ) and $$O(n^2)$$ O ( n 2 ) running times are proposed for the problems with a fixed parameter and for the general problem, respectively, where n is the number of items to be packed into the knapsack. The latter algorithm determines optimal solution values for all values of the parameter in $$O(n\log ^2 n)$$ O ( n log 2 n ) time. The problem of deciding whether there exists a single optimal solution for all values of the numerical parameter is proved to be NP-complete.

Keywords: Knapsack problems; Parametric optimization; Polynomial algorithm; FPTAS; 90C31; 68Q25; 68Q17; 90C59 (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10288-022-00509-1

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