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High-Throughput Screening in Heterogeneous catalysis
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SYSNO ASEP 0405286 Document Type M - Monograph Chapter R&D Document Type Monograph Chapter Title Present Trends in the Application of Genetic Algorithms to Heterogeneous Catalysis Title Současné trendy v použití genetických algoritmů k heterogenní katalýze Author(s) Holeňa, Martin (UIVT-O) SAI, RID Source Title High-Throughput Screening in Heterogeneous catalysis / Hagemeyer A. ; Strasser P. ; Volpe, jr. A.F.. - Weinheim : WileyVCH, 2004 - ISBN 3-527-30814-8 Pages s. 153-173 Number of pages 21 s. Language eng - English Country DE - Germany Keywords combinatorial catalysis ; genetic algorithms ; artificial neural networks ; catalyst description language ; program generator Subject RIV IN - Informatics, Computer Science Next source Other public resources EID SCOPUS 84954105027 DOI 10.1002/3527604103.ch6 Annotation The purpose of this paper is to review the present trends in the application of genetic algorithms and in their integration with artificial neural networks. Therefore, after recalling the fundamentals of both methods, the paper focuses on the shift from predefined genetic algorithms to algorithms generated at run-time according to user requirements, and on different ways in which the integration of genetic algorithms and neural networks has been so far attempted in catalysis. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2008
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