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USSR Computational Mathematics and Mathematical Physics
Article . 1979 . Peer-reviewed
License: Elsevier TDM
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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https://dx.doi.org/10.1016/004...
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Computer experiments on solving integer linear programming problems by locally stochastic algorithms

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1979 English Publisher:Elsevier BVJournal:USSR Computational Mathematics and Mathematical Physics, volume 19, pages 81-89 (issn: 0041-5553, Copyright policy )
Authors: Pir'yanovich, V. A.;

doi: 10.1016/0041-5553(79)90068-5

Computer experiments on solving integer linear programming problems by locally stochastic algorithms

Abstract

Abstract A FAMILY of approximate algorithms for solving zero-one integer linear programming problems is described. A generator of conditions of problems with known optimal solutions is proposed for the experimental study of the algorithms. The results of computer experiments are outlined.

Keywords

known optimal solutions, computational study, conditions generator, computer experiments, approximate algorithms, locally stochastic algorithms, Numerical mathematical programming methods, Linear programming, Boolean programming, comparison of algorithms, integer linear programming problems

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selected citations
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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.
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