Počet záznamů: 1
Generator Approach to Evolutionary Optimization of Catalysts and its Integration with Surrogate Modeling
- 1.
SYSNO ASEP 0355267 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Generator Approach to Evolutionary Optimization of Catalysts and its Integration with Surrogate Modeling Tvůrce(i) Holeňa, Martin (UIVT-O) SAI, RID
Linke, D. (DE)
Rodemerck, U. (DE)Zdroj.dok. Catalysis Today. - : Elsevier - ISSN 0920-5861
Roč. 159, č. 1 (2011), s. 84-95Poč.str. 12 s. Jazyk dok. eng - angličtina Země vyd. NL - Nizozemsko Klíč. slova optimization of catalytic materials ; evolutionary optimization ; surrogate modeling ; artificial neural networks ; multilayer perceptron ; regression boosting Vědní obor RIV IN - Informatika CEP GA201/08/0802 GA ČR - Grantová agentura ČR CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000285626500011 EID SCOPUS 78650702258 DOI 10.1016/j.cattod.2010.05.031 Anotace This paper presents some unpublished aspects and ongoing developments of the recently elaborated generator approach to the evolutionary optimization of catalytic materials, the purpose of which is to obtain evolutionary algorithms precisely tailored to the problem being solved. It briefly recalls the principles of the approach, and then it describes how the employed evolutionary operations reflect the specificity of the involved mixed constrained optimization tasks, and how the approach tackles checking the feasibility of large polytope systems, frequently resulting from the optimization constraints. Finally, the paper discusses the integration of the approach with surrogate modeling, paying particular attention to surrogate models enhanced with boosting. The usefulness of surrogate modeling in general and of boosted surrogate models in particular is documented on a case study with data from a high-temperature synthesis of hydrocyanic acid. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2011
Počet záznamů: 1