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An iterative dynamic programming approach for the temporal knapsack problem

Authors: Clautiaux, François; Detienne, Boris; Guillot, Gaël;

An iterative dynamic programming approach for the temporal knapsack problem

Keywords

Combinatorial optimization, Lagrangian relaxation, Deterministic scheduling theory in operations research, Temporal knapsack, Exact algorithm, Successive Sublimation Dynamic Programming method, successive sublimation dynamic programming method, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], temporal knapsack, exact algorithm, Dynamic programming, Lagrangian Relaxation, Mixed integer programming

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
17
Top 10%
Top 10%
Top 10%
Green
bronze