About: Surrogate Modeling in the Evolutionary Optimization of Catalytic Materials

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Surrogate Modeling in the Evolutionary Optimization of Catalytic Materials Goto Sponge NotDistinct Permalink

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

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The search for best performing catalysts leads to high-dimensional optimization tasks. They are by far most frequently tackled using evolutionary algorithms, usually implemented in systems developed specifically for the area of catalysis. Their fitness functions are black-box functions with costly and time-consuming empirical evaluation. This suggests to apply surrogate modeling. The paper points out three difficulties challenging the application of surrogate modeling to catalysts optimization: mixed-variables optimization, assessing the suitability of different models, and scalarization of multiple objectives. It then provides examples of how those challenges are tackled in real-world catalysts optimization tasks. The examples are based on results obtained in three such tasks using one of specific evolutionary optimization systems for catalysis. The search for best performing catalysts leads to high-dimensional optimization tasks. They are by far most frequently tackled using evolutionary algorithms, usually implemented in systems developed specifically for the area of catalysis. Their fitness functions are black-box functions with costly and time-consuming empirical evaluation. This suggests to apply surrogate modeling. The paper points out three difficulties challenging the application of surrogate modeling to catalysts optimization: mixed-variables optimization, assessing the suitability of different models, and scalarization of multiple objectives. It then provides examples of how those challenges are tackled in real-world catalysts optimization tasks. The examples are based on results obtained in three such tasks using one of specific evolutionary optimization systems for catalysis. (en)
Title	Surrogate Modeling in the Evolutionary Optimization of Catalytic Materials Surrogate Modeling in the Evolutionary Optimization of Catalytic Materials (en)
skos:prefLabel	Surrogate Modeling in the Evolutionary Optimization of Catalytic Materials Surrogate Modeling in the Evolutionary Optimization of Catalytic Materials (en)
skos:notation	RIV/67985807:_____/12:00380963!RIV13-GA0-67985807
http://linked.open...avai/predkladatel	Ústav informatiky AV ČR, v.v.i.
http://linked.open...avai/riv/aktivita	I P
http://linked.open...avai/riv/aktivity	I, P(GA201/08/0802), P(GAP202/11/1368)
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	172601
http://linked.open...ai/riv/idVysledku	RIV/67985807:_____/12:00380963
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	evolutionary optimization; mixed optimization; surrogate modeling; model suitability; applications in chemistry (en)
http://linked.open.../riv/klicoveSlovo	evolutionary optimization model suitability surrogate modeling mixed optimization applications in chemistry
http://linked.open...ontrolniKodProRIV	[E1C5CB26E13A]
http://linked.open...v/mistoKonaniAkce	Philadelphia
http://linked.open...i/riv/mistoVydani	New York
http://linked.open...i/riv/nazevZdroje	GECCO '12. Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Learning of functional relationships from high-dimensional data Applications of Methods of Knowledge Engineering in Data Mining
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Bajer, Lukáš Holeňa, Martin Linke, D.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000309611100137
http://linked.open.../riv/zahajeniAkce	2012-07-07 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	ACM
https://schema.org/isbn	978-1-4503-1177-9
is http://linked.open...avai/riv/vysledek of	Surrogate Modeling in the Evolutionary Optimization of Catalytic Materials

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software