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Tolerance analysis for 0–1 knapsack problems

Tolerance analysis for 0-1 knapsack problems
descriptionPublicationkeyboard_double_arrow_right Article 01 May 2017 English Publisher:Elsevier BVJournal:European Journal of Operational Research, volume 258, pages 866-876 (issn: 0377-2217, Copyright policy )
Authors: David Pisinger; Alima Saidi;

doi: 10.1016/j.ejor.2016.10.054

Tolerance analysis for 0–1 knapsack problems

Abstract

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Keywords

Information Systems and Management, Combinatorial optimization, Integer programming problems, Integer coefficient, knapsack problem, Management Science and Operations Research, Dynamic programming, Numerical mathematical programming methods, Mixed integer programming, Linear programming, Post-optimal analysis, Fits and tolerances, dynamic programming, post-optimal analysis, Approximate algorithms, Integer programming, Optimal systems, Knapsack problem, Modeling and Simulation, Linear programming problem, Sensitivity, stability, parametric optimization, Robustness & sensitivity analysis, Knapsack problems, Optimal analysis, Tolerance analysis, Boolean programming, Sensitivity analysis, Optimal solutions, robustness \& sensitivity analysis

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
Green
bronze
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