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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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PolyPublie
Dataset . 2020
Data sources: PolyPublie
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Claim

Near-optimal robust bilevel linear instances

Research datakeyboard_double_arrow_right Dataset 31 Aug 2020 Canada English Publisher:Zenodo
Authors: Besançon, Mathieu; Anjos, Miguel F.; Brotcorne, Luce;

doi: 10.5281/zenodo.4009108 , 10.5281/zenodo.4009109 , 10.5281/zenodo.4110025

Near-optimal robust bilevel linear instances

Abstract

This repository contains the bilevel instances used in the paper Near-Optimal Robust Bilevel Optimization (https://arxiv.org/abs/1908.04040). They come in four groups, small, medium, large and mips instances, with different numbers of variables and constraints as described in the paper. The MIPS instances are constructed from the MIPS/RANDOM instances from https://coral.ise.lehigh.edu/data-sets/bilevel-instances/ The /data folder contains instances in JLD format, the DataReader folder contains a Julia project for reading the data.

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Canada
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Keywords

optimization, bilevel, dataset, instances, bilevel, dataset, instances, optimization

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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