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Electronic Notes in Discrete Mathematics
Article . 2012 . Peer-reviewed
License: Elsevier TDM
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Electronic Notes in Discrete Mathematics
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Exploiting Separators for Guiding VNS

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Dec 2012 France English Publisher:Elsevier BVJournal:Electronic Notes in Discrete Mathematics, volume 39, pages 265-272 (issn: 1571-0653, Copyright policy )
Authors: Loudni, Samir; Fontaine, Mathieu; Boizumault, Patrice;

doi: 10.1016/j.endm.2012.10.035

Exploiting Separators for Guiding VNS

Abstract

This paper presents two extensions for DGVNS (Decomposition Guided VNS) method, that exploit both the graph of clusters and separators between these clusters, to efficiently guide the exploration of large neighborhoods in VNS. Experiments performed on challenging instances of the tagSNP selection problem show the appropriateness and the efficiency of our approach.

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Keywords

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Tree decomposition, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], VNS Hybrid, Separators, Cost Function 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!
0
Average
Average
Average
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