A new lower bound for the linear knapsack problem with general integer variables
In: European journal of operational research, Jg. 178 (2007), Heft 3, S. 738-754
Online
academicJournal
- print, 1/4 p
It is well known that the linear knapsack problem with general integer variables (LKP) is NP-hard. In this paper we first introduce a special case of this problem and develop an O(n) algorithm to solve it. We then show how this algorithm can be used efficiently to obtain a lower bound for a general instance of LKP and prove that it is at least as good as the linear programming lower bound. We also present the results of a computational study that show that for certain classes of problems the proposed bound on average is tighter than other bounds proposed in the literature.
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A new lower bound for the linear knapsack problem with general integer variables
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Autor/in / Beteiligte Person: | MATHUR, Kamlesh ; VENKATESHAN, Prahalad |
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Zeitschrift: | European journal of operational research, Jg. 178 (2007), Heft 3, S. 738-754 |
Veröffentlichung: | Amsterdam: Elsevier, 2007 |
Medientyp: | academicJournal |
Umfang: | print, 1/4 p |
ISSN: | 0377-2217 (print) |
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