About: Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper presents an important real-world application of both evolutionary computation and learning, an application to the search for optimal catalytic materials. In this area, evolutionary and especially genetic algorithms are encountered most frequently. However, their application is far from any standard methodology, due to problems with mixed optimization and constraints. The paper describes how these difficulties are dealt with in the evolutionary optimization system GENACAT, recently developed for searching optimal catalysts. It also recalls that the costly evaluation of objective functions in this application area can be tackled through learning suitable regression models of those functions, called surrogate models. Ongoing integration of neural-networks-based surrogate modelling with GENACAT is illustrated on two brief examples. This paper presents an important real-world application of both evolutionary computation and learning, an application to the search for optimal catalytic materials. In this area, evolutionary and especially genetic algorithms are encountered most frequently. However, their application is far from any standard methodology, due to problems with mixed optimization and constraints. The paper describes how these difficulties are dealt with in the evolutionary optimization system GENACAT, recently developed for searching optimal catalysts. It also recalls that the costly evaluation of objective functions in this application area can be tackled through learning suitable regression models of those functions, called surrogate models. Ongoing integration of neural-networks-based surrogate modelling with GENACAT is illustrated on two brief examples. (en)
Title	Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning (en)
skos:prefLabel	Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning (en)
skos:notation	RIV/67985807:_____/10:00351863!RIV11-GA0-67985807
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA201/08/0802), P(GEICC/08/E018), Z(AV0Z10300504)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Holeňa, Martin
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	258050
http://linked.open...ai/riv/idVysledku	RIV/67985807:_____/10:00351863
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	evolutionary optimization; mixed optimization; constrained optimization; neural network learning; surrogate modelling; evolutionary algorithms in catalysis (en)
http://linked.open.../riv/klicoveSlovo	evolutionary optimization surrogate modelling constrained optimization evolutionary algorithms in catalysis neural network learning mixed optimization
http://linked.open...ontrolniKodProRIV	[C7A626AC2EFE]
http://linked.open...v/mistoKonaniAkce	Kanpur
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	Simulated Evolution and Learning
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Applications of Methods of Knowledge Engineering in Data Mining Logical Models of Reasoning with Vague Information
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Holeňa, Martin Linke, D. Rodemerck, U.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-12-01 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Informatika pro informační společnost: modely, algoritmy, aplikace
number of pages	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-17297-7
is http://linked.open...avai/riv/vysledek of	Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning

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