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Optimization of Catalysts Using Specific, Description-Based Genetic Algorithms
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SYSNO ASEP 0306485 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Optimization of Catalysts Using Specific, Description-Based Genetic Algorithms Title Optimalizace katalyzátorů s využitím specifických genetických algoritmů založených na popisu problému Author(s) Holeňa, Martin (UIVT-O) SAI, RID
Čukić, T. (DE)
Rodemerck, U. (DE)
Linke, D. (DE)Source Title Journal of Chemical Information and Modeling. - : American Chemical Society - ISSN 1549-9596
Roč. 48, č. 2 (2008), s. 274-282Number of pages 9 s. Language eng - English Country US - United States Keywords optimization of catalytic materials ; genetic algorithms ; mixed optimization ; constrained optimization Subject RIV IN - Informatics, Computer Science R&D Projects GA201/08/1744 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000253428400004 EID SCOPUS 41549146369 DOI https://doi.org/10.1021/ci700218p Annotation The paper deals with the key optimization task that has to be solved when improving the performance of many chemical processes - optimization of the catalysts used in the reaction via the optimization of its composition and preparation. A novel approach is presented that allows for the preservation of the advantages of genetic algorithms developed specifically for the optimization of catalytic materials but avoids the disadvantageous necessity to reimplement the algorithm when the scope of the optimized materials changes. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2008
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