About: RBF-based surrogate model for evolutionary optimization

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Many today’s engineering tasks use approximation of their expensive objective function. Surrogate models, which are frequently used for this purpose, can save significant costs by substituting some of the experimental evaluations or simulations needed to achieve an optimal or near-optimal solution. This paper presents a surrogate model based on RBF networks. In contrast to the most of the surrogate models in the current literature, it can be directly used for problems with mixed continuous and discrete variables - clustering and generalized linear models are employed for dealing with discrete covariates. The model has been tested on a benchmark optimization problem and its approximation properties are presented on a real-world application data. Many today’s engineering tasks use approximation of their expensive objective function. Surrogate models, which are frequently used for this purpose, can save significant costs by substituting some of the experimental evaluations or simulations needed to achieve an optimal or near-optimal solution. This paper presents a surrogate model based on RBF networks. In contrast to the most of the surrogate models in the current literature, it can be directly used for problems with mixed continuous and discrete variables - clustering and generalized linear models are employed for dealing with discrete covariates. The model has been tested on a benchmark optimization problem and its approximation properties are presented on a real-world application data. (en)
Title	RBF-based surrogate model for evolutionary optimization RBF-based surrogate model for evolutionary optimization (en)
skos:prefLabel	RBF-based surrogate model for evolutionary optimization RBF-based surrogate model for evolutionary optimization (en)
skos:notation	RIV/67985807:_____/12:00384877!RIV13-GA0-67985807
http://linked.open...avai/riv/aktivita	I P S
http://linked.open...avai/riv/aktivity	I, P(GA201/08/0802), S
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Holeňa, Martin Bajer, Lukáš
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav informatiky AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	164171
http://linked.open...ai/riv/idVysledku	RIV/67985807:_____/12:00384877
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	surrogate models; mixed-variable optimization; rbf networks; evolutionary optimization (en)
http://linked.open.../riv/klicoveSlovo	evolutionary optimization surrogate models mixed-variable optimization rbf networks
http://linked.open...ontrolniKodProRIV	[2DAD5B1A0395]
http://linked.open...v/mistoKonaniAkce	Ždiar
http://linked.open...i/riv/mistoVydani	Seňa
http://linked.open...i/riv/nazevZdroje	Information Technologies - Applications and Theory
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Applications of Methods of Knowledge Engineering in Data Mining
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Bajer, Lukáš Holeňa, Martin
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2012-09-17 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	PONT s.r.o.
https://schema.org/isbn	978-80-971144-0-4

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