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* articles.bib(RivYanLop2021tweet,CinFerLopAlb2022irace): Update det…
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MLopez-Ibanez committed Nov 14, 2023
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46 changes: 26 additions & 20 deletions articles.bib
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Expand Up @@ -3643,14 +3643,17 @@ @Article{ChuSinHak2019surv
}

@Article{CinFerLopAlb2022irace,
author = Cintrano #and# Ferrer_J #and# Lopez-Ibanez #and# Alba_E,
title = "Hybridization of Evolutionary Operators with Elitist Iterated
author = Cintrano #and# Ferrer_J #and# Lopez-Ibanez #and# Alba_E,
title = {Hybridization of Evolutionary Operators with Elitist Iterated
Racing for the Simulation Optimization of Traffic Lights
Programs",
doi = "10.1162/evco_a_00314",
journal = ec,
year = 2022,
abstract = "In the traffic light scheduling problem the evaluation of
Programs},
journal = ec,
year = 2023,
volume = 31,
number = 1,
pages = {31--51},
doi = {10.1162/evco_a_00314},
abstract = {In the traffic light scheduling problem the evaluation of
candidate solutions requires the simulation of a process
under various (traffic) scenarios. Thus, good solutions
should not only achieve good objective function values, but
Expand All @@ -3672,9 +3675,9 @@ @Article{CinFerLopAlb2022irace
results than the other algorithms when the budget of
simulations is low. In contrast, IRACE performs better than
the hybrids for high simulations budget, although the
optimization time is much longer.",
keywords = "irace, Simulation optimization, Uncertainty, Traffic light
planning"
optimization time is much longer.},
keywords = {irace, Simulation optimization, Uncertainty, Traffic light
planning}
}

@Article{Clark95,
Expand Down Expand Up @@ -14796,13 +14799,16 @@ @Article{RivAfrPri2015:coa
}

@Article{RivYanLop2021tweet,
title = "Predicting tweet impact using a novel evidential reasoning
prediction method",
author = Rivadeneira_L #and# Yang_JB #and# Lopez-Ibanez,
year = 2021,
journal = eswa,
doi = "10.1016/j.eswa.2020.114400",
abstract = "This study presents a novel evidential reasoning (ER)
author = Rivadeneira_L #and# Yang_JB #and# Lopez-Ibanez,
title = {Predicting tweet impact using a novel evidential reasoning
prediction method},
journal = eswa,
year = 2021,
volume = 169,
pages = 114400,
month = may,
doi = {10.1016/j.eswa.2020.114400},
abstract = {This study presents a novel evidential reasoning (ER)
prediction model called MAKER-RIMER to examine how different
features embedded in Twitter posts (tweets) can predict the
number of retweets achieved during an electoral campaign. The
Expand Down Expand Up @@ -14830,9 +14836,9 @@ @Article{RivYanLop2021tweet
political parties or candidates with a tool to measure how
features of tweets are predictors of their impact, which can
be useful to tailor Twitter content during electoral
campaigns.",
keywords = "Evidential reasoning rule,Belief rule-based inference,Maximum
likelihood data analysis,Twitter,Retweet,Prediction"
campaigns.},
keywords = {Evidential reasoning rule,Belief rule-based inference,Maximum
likelihood data analysis,Twitter,Retweet,Prediction}
}

@Article{Rob1995statcomp,
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1 change: 0 additions & 1 deletion biblio.bib
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Expand Up @@ -5359,7 +5359,6 @@ @InCollection{HanAugRosFin2010comparing
Optimization Benchmarking {BBOB-2009}},
author = Hansen_N #and# Auger_A #and# {Ros, Raymond} #and# {Finck,
Steffen} #and# Posik_Petr,
date = {2010-07-07},
crossref = "GECCO2010c",
pages = {1689--1696},
doi = {10.1145/1830761.1830790},
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4 changes: 2 additions & 2 deletions crossref.bib
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Expand Up @@ -353,7 +353,7 @@ @Proceedings{ANTS2000
organization = iridia,
date = "2000-09-07/2000-09-09",
year = 2000,
month = sep # ", 7--9",
month = sep # " 7--9",
}

@Book{ANTS2002,
Expand Down Expand Up @@ -1087,7 +1087,7 @@ @Proceedings{DSRSturing2019
address = {London, UK},
date = "2019-11-21/2019-11-22",
year = 2019,
month = nov # ", 21--22",
month = nov # " 21--22",
organization = {Alan Turing Institute},
isbn = {978-1-5262-0820-0},
}
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