Journal
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 289, Issue 2, Pages 508-514Publisher
ELSEVIER
DOI: 10.1016/j.ejor.2020.07.040
Keywords
Computing science; Knapsack problem; Non-dominance; Qualitative levels; Dynamic programming
Funding
- Bundesministerium fur Bildung und Forschung (BMBF) [13N14561]
- Deutscher Akademischer Austauschdienst (DAAD) [57518713]
- FCT research DOME Project [PTDC/CCI-COM/31198/2017]
- Isambard Kingdom Brunel Fellowship Scheme
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This study explores a variant of the knapsack problem and proposes dynamic programming and greedy algorithms to compute non-dominated rank cardinality vectors and efficient solutions.
A variant of the classical knapsack problem is considered in which each item is associated with an integer weight and a qualitative level. We define a dominance relation over the feasible subsets of the given item set and show that this relation defines a preorder. We propose a dynamic programming algorithm to compute the entire set of non-dominated rank cardinality vectors and we state two greedy algorithms, which efficiently compute a single efficient solution. (C) 2020 Elsevier B.V. All rights reserved.
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