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Neural Networks as Surrogate Models for Measurements in Optimization Algorithms
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SYSNO ASEP 0345993 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název Neural Networks as Surrogate Models for Measurements in Optimization Algorithms Tvůrce(i) Holeňa, Martin (UIVT-O) SAI, RID
Linke, D. (DE)
Rodemerck, U. (DE)
Bajer, Lukáš (UIVT-O) SAI, RID, ORCIDZdroj.dok. Analytical and Stochastic Modeling Techniques and Applications. - Berlin : Springer, 2010 / Al-Begain K. ; Fiems D ; Knottenbelt W. - ISSN 0302-9743 - ISBN 978-3-642-13567-5 Rozsah stran s. 351-366 Poč.str. 16 s. Akce ASMTA 2010. International Conference /17./ Datum konání 14.06.2010-16.06.2010 Místo konání Cardiff Země GB - Velká Británie Typ akce WRD Jazyk dok. eng - angličtina Země vyd. DE - Německo Klíč. slova functions evaluated via measurements ; evolutionary optimization ; surrogate modelling ; neural networks ; boosting Vědní obor RIV IN - Informatika CEP GA201/08/0802 GA ČR - Grantová agentura ČR CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000279619100025 EID SCOPUS 77955454759 DOI 10.1007/978-3-642-13568-2_25 Anotace The paper deals with surrogate modelling, a modern approach to the optimization of objective functions evaluated via measurements. The approach leads to a substantial decrease of time and costs of evaluation of the objective function, a property that is particularly attractive in evolutionary optimization. The paper recalls common strategies for using surrogate models in evolutionary optimization, and proposes two extensions to those strategies - extension to boosted surrogate models and extension to using a set of models. These are currently being implemented, in connection with surrogate modelling based on feed-forward neural networks, in a software tool for problem-tailored evolutionary optimization of catalytic materials. The paper presents results of experimentally testing already implemented parts and comparing boosted surrogate models with models without boosting, which clearly confirms the usefulness of both proposed extensions. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2011
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