Optimal design of multiple dividing wall columns based on genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InCollection{GomezCastro2011176,

• author = "Fernando I. Gomez-Castro and Mario A. Rodriguez-Angeles and Juan G. Segovia-Hernandez and Claudia Gutierrez-Antonio and Abel Briones-Ramirez",
• title = "Optimal design of multiple dividing wall columns based on genetic programming",
• editor = "M. C. Georgiadis E. N. Pistikopoulos and A. C. Kokossis",
• booktitle = "21st European Symposium on Computer Aided Process Engineering",
• publisher = "Elsevier",
• year = "2011",
• volume = "29",
• pages = "176--180",
• series = "Computer Aided Chemical Engineering",
• ISSN = "1570-7946",
• DOI = "doi:10.1016/B978-0-444-53711-9.50036-5",
• URL = "http://www.sciencedirect.com/science/article/pii/B9780444537119500365",
• keywords = "genetic algorithms, genetic programming, Multiple dividing wall columns, stochastic optimisation, columns sizing",
• abstract = "In this work, two schemes are analysed for the reduction on energy consumptions for ternary distillation: a Petlyuk column, PC, and a Petlyuk with postfractionator system, PCP. To perform the optimal design of the analysed systems, the use of multiobjective genetic algorithms has been considered. Moreover, a strategy for diameter calculation is proposed for the dividing wall column, DWC, and double dividing wall column, DDWC, which is based on their distribution of internal flows. Results show that genetic algorithm tool allows obtaining optimal designs for the PC and PCP systems, with low energy consumptions. Furthermore, the design strategy for the DWC and DDWC shows that the physical structure required for one or two dividing walls is quite similar; thereby, it appears to be an adequate method for the sizing of the dividing wall systems.",

}

Genetic Programming entries for Fernando I Gomez-Castro Mario A Rodriguez-Angeles Juan G Segovia-Hernandez Claudia Gutierrez-Antonio Abel Briones-Ramirez

Citations