About: Automatically Generated Problem-Tailored Genetic Algorithms for the Optimization of Chemical Processes     Goto   Sponge   NotDistinct   Permalink

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Description
  • Hlavní způsob zvýšení produktivity chemických procesů je optimalizace katalyzátorů, které se v nich poižívají. To vede k optimalizačním úlohám s omezeními pro velký počet spojitých i diskrétních proměnných. K jejich řešení se v katalýze nejčastěji používají genetické algoritmy, ačkoliv jejich rutinnímu použití je na překážku nedostatek vhodných implementací. Tento článek prezentuje přístup, jehož hlavní ideou je automaticky generovat problému přizpůsobené genetické algoritmy z požadavků týkajících se optimalizovaných materiálů. (cs)
  • The principal means of increasing the performance of chemical processes is optimization of catalysts used in them. This leads to a high-dimensional constraint optimization task for both continuous and discrete variables. To solve that task,  genetic algorithms are most frequently used in catalysis, though their routine use is still hindered by a lack of appropriate implementations. This paper presents an approach the main idea of which is to automatically generate problem-tailored genetic algorithms from requirements concerning the optimized materials.
  • The principal means of increasing the performance of chemical processes is optimization of catalysts used in them. This leads to a high-dimensional constraint optimization task for both continuous and discrete variables. To solve that task,  genetic algorithms are most frequently used in catalysis, though their routine use is still hindered by a lack of appropriate implementations. This paper presents an approach the main idea of which is to automatically generate problem-tailored genetic algorithms from requirements concerning the optimized materials. (en)
Title
  • Automatically Generated Problem-Tailored Genetic Algorithms for the Optimization of Chemical Processes
  • Automaticky generované problému přizpůsobené genetické algoritmy pro optimalizaci chemických procesů (cs)
  • Automatically Generated Problem-Tailored Genetic Algorithms for the Optimization of Chemical Processes (en)
skos:prefLabel
  • Automatically Generated Problem-Tailored Genetic Algorithms for the Optimization of Chemical Processes
  • Automaticky generované problému přizpůsobené genetické algoritmy pro optimalizaci chemických procesů (cs)
  • Automatically Generated Problem-Tailored Genetic Algorithms for the Optimization of Chemical Processes (en)
skos:notation
  • RIV/67985807:_____/06:00050663!RIV07-AV0-67985807
http://linked.open.../vavai/riv/strany
  • 7;12
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(AV0Z10300504)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 466420
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/06:00050663
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • computer applications in chemistry; optimization methods; empirical objective function; genetic algorithms; problem-tailoring; formal description language; program generator (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [DBE667E37CBC]
http://linked.open...v/mistoKonaniAkce
  • Tenerife
http://linked.open...i/riv/mistoVydani
  • Wisconsin
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the WSEAS ACS, EDU, REMOTE, POWER, ICOSSE 2006 International Conferences
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Holeňa, Martin
  • Linke, D.
  • Rodemerck, U.
  • Čukić, T.
  • Dingerdissen, U.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • WSEAS
https://schema.org/isbn
  • 960-8457-57-2
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