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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F12%3A00199145%21RIV13-MSM-21230___
rdf:type
skos:Concept n9:Vysledek
rdfs:seeAlso
http://www.mitpressjournals.org/doi/abs/10.1162/EVCO_a_00084
dcterms:description
Four methods for global numerical black box optimization with origins in the mathematical programming community are described and experimentally compared with the state of the art evolutionary method, BIPOP CMA ES. The methods chosen for the comparison exhibit various features that are potentially interesting for the evolutionary computation community: systematic sampling of the search space (DIRECT, MCS) possibly combined with a local search method (MCS), or a multi start approach (NEWUOA, GLOBAL) possibly equipped with a careful selection of points to run a local optimizer from (GLOBAL). The recently proposed %22comparing continuous optimizers%22 (COCO) methodology was adopted as the basis for the comparison. Based on the results, we draw suggestions about which algorithm should be used depending on the available budget of function evaluations, and we propose several possibilities for hybridizing evolutionary algorithms (EAs) with features of the other compared algorithms. Four methods for global numerical black box optimization with origins in the mathematical programming community are described and experimentally compared with the state of the art evolutionary method, BIPOP CMA ES. The methods chosen for the comparison exhibit various features that are potentially interesting for the evolutionary computation community: systematic sampling of the search space (DIRECT, MCS) possibly combined with a local search method (MCS), or a multi start approach (NEWUOA, GLOBAL) possibly equipped with a careful selection of points to run a local optimizer from (GLOBAL). The recently proposed %22comparing continuous optimizers%22 (COCO) methodology was adopted as the basis for the comparison. Based on the results, we draw suggestions about which algorithm should be used depending on the available budget of function evaluations, and we propose several possibilities for hybridizing evolutionary algorithms (EAs) with features of the other compared algorithms.
dcterms:title
A Comparison of Global Search Algorithms for Continuous Black Box Optimization A Comparison of Global Search Algorithms for Continuous Black Box Optimization
skos:prefLabel
A Comparison of Global Search Algorithms for Continuous Black Box Optimization A Comparison of Global Search Algorithms for Continuous Black Box Optimization
skos:notation
RIV/68407700:21230/12:00199145!RIV13-MSM-21230___
n9:predkladatel
n13:orjk%3A21230
n3:aktivita
n6:Z
n3:aktivity
Z(MSM6840770012)
n3:cisloPeriodika
4
n3:dodaniDat
n4:2013
n3:domaciTvurceVysledku
n18:2312883
n3:druhVysledku
n16:J
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
120089
n3:idVysledku
RIV/68407700:21230/12:00199145
n3:jazykVysledku
n11:eng
n3:klicovaSlova
Optimization; Global Search; Black Box; Continuous Domain
n3:klicoveSlovo
n7:Optimization n7:Global%20Search n7:Black%20Box n7:Continuous%20Domain
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[3408AFC847F6]
n3:nazevZdroje
Evolutionary Computation
n3:obor
n15:JC
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n4:2012
n3:svazekPeriodika
20
n3:tvurceVysledku
Pošík, Petr Huyer, W. Pál, L.
n3:wos
000311334400003
n3:zamer
n17:MSM6840770012
s:issn
1063-6560
s:numberOfPages
33
n12:organizacniJednotka
21230