Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Adaptative evolutionary optimization of complex processes using a kriging based genetic algorithm

Autor
Abdelaleem, A.; Hjaila, K.; Espuña, A.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
13th Mediterranean Congress of Chemical Engineering
Any de l'edició
2014
Llibre d'actes
13th Mediterranean Congress of Chemical Engineering: book of abstracts
Pàgina inicial
302
Pàgina final
302
Projecte finançador
Sistema integrado de la gestión de la energía y los recursos ambientales para procesos industriales económicamente sostenibles
URL
http://www.ub.edu/congmedit/13MCCEabstracts.pdf Obrir en finestra nova
Resum
This work presents a methodology for the optimization of chemical processes using genetic algorithm and kriging metamodels. The methodology is appropriate when the use of computationally expensive and complex processes first principle models is required (e.g. modular process simulators as ASPEN). Such models face many obstacles when used in optimization using Derivative Based Optimizers (DBO), because of the inaccurate estimation of the derivatives; moreover DBO could be easily trapped in local ...
Paraules clau
Krigigng, Optimization, Process Modelling
Grup de recerca
CEPIMA - Center for Process and Environment Engineering

Participants

  • Abdelaleem Taha Ziez, Ahmed Shokry  (autor ponent)
  • Hjaila, Kefah  (autor ponent)
  • Espuña Camarasa, Antonio  (autor ponent)