Optimization of catalysts using specific, description-based genetic algorithms.

Optimization of catalysts using specific, description-based genetic algorithms. Research Abstract Details 

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Optimization of catalysts using specific, description-based genetic algorithms. Abstract Text:

This 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. Its main idea is to automatically generate problem-tailored implementations from requirements concerning the materials with a program generator. For the specification of such requirements, a formal description language, called catalyst description language, has been developed.

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MEDLINE DATE: 2008 Mar-Apr

Optimization of catalysts using specific, description-based genetic algorithms. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Journal of chemical information and modeling

VOLUME: 48

Page Numbers: 274-82

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ISSN: 1549-9596

DAY: 7

MONTH: 02

YEAR: 2008

Optimization of catalysts using specific, description-based genetic algorithms. Information

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LANGUAGE: eng

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Grant and Affiliation Information for Optimization of catalysts using specific, description-based genetic algorithms.

AFFILIATION: Leibniz Institute for Catalysis, Branch Berlin, Richard-Willstätter-Strasse 12, 12489 Berlin, Germany.

Country: United States

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MEDLINETA: J Chem Inf Model

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