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Article . 2012 . Peer-reviewed
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A new penalty parameter for linearly constrained 0–1 quadratic programming problems

A new penalty parameter for linearly constrained 0--1 quadratic programming problems
descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2012 English Publisher:Springer Science and Business Media LLCJournal:Optimization Letters, volume 7, pages 765-778 (issn: 1862-4472, eissn: 1862-4480, Copyright policy )
Authors: Hsia, Yong; Wang, Yanping;

doi: 10.1007/s11590-012-0458-8

A new penalty parameter for linearly constrained 0–1 quadratic programming problems

Abstract

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Keywords

penalty parameter, concave programming, Boolean programming, Quadratic programming, linearly constrained 0--1 quadratic programming, integer programming

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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!
3
Average
Average
Average
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