Evaluation of catalyst library optimization algorithms: Comparison of the Holographic Research Strategy and the Genetic Algorithm in virtual catalytic experiments

In this study two catalyst library optimization methods, the Holographic Research Strategy (HRS) and the Genetic Algorithm (GA) were compared based on their ability to find the optimum compositions in a given multi-dimensional experimental space. Results obtained in three different case studies were...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Applied catalysis. A, General Ročník 303; číslo 1; s. 72 - 80
Hlavní autoři:	Tompos, András, Margitfalvi, József L., Tfirst, Ernő, Végvári, Lajos
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 18.04.2006 Elsevier
Témata:	Catalysis Catalyst library design Chemistry Combinatorial catalysis Exact sciences and technology General and physical chemistry Genetic Algorithm Holographic Research Strategy Theory of reactions, general kinetics. Catalysis. Nomenclature, chemical documentation, computer chemistry Visualization Combinatorial catalysis Visualization Catalyst library design Holographic Research Strategy Genetic Algorithm Design Catalytic reaction Genetic algorithm Combinatorial chemistry Catalyst Optimization
ISSN:	0926-860X, 1873-3875
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!