@InProceedings{CucoSilvCamp:2006:EpGeAl,
               author = "Cuco, Ana Paula Curty and Silva Neto, Ant{\^o}nio Jos{\'e} da 
                         and Campos Velho, Haroldo Fraga de",
          affiliation = "{Universidade Estadual do Rio de Janeiro (UERJ)} and {Universidade 
                         Estadual do Rio de Janeiro (UERJ)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Epidemic genetic algorithm for the solution of an inverse mass 
                         transfer problem",
            booktitle = "Resumos...",
                 year = "2006",
         organization = "Congresso Nacional de Matem{\'a}tica Aplicada e Computacional, 
                         29. (CNMAC).",
             abstract = "Recent developments in the pharmaceutical industry have led to the 
                         discovery of increasingly complex substances, and a large number 
                         of drugs going to market at the moment are chiral substances with 
                         optical isomers. Even though the physical properties of optical 
                         isomers are very similar, their effects on the human organisms may 
                         be drastically different, possibly causing harmful side effects. 
                         Therefore, there is a growing demand for efficient methods to 
                         purify optical isomers, with one of the most promising 
                         alternatives being the simulated moving beds (SMB) chromatography. 
                         For the full understanding of the operation of SMBs, and a 
                         possible scale-up to industrial production, it is required a 
                         better knowledge of the mass transfer mechanisms involved and 
                         their dependence on the physico-chemical and process parameters. 
                         The first step in that direction consists of thecharacterization 
                         of adsorption columns with the determination of phisico-chemical 
                         parameters such as dissociation constant, kd, and maximum capacity 
                         of adsorption of the adsorbent resin, qm. In the present work the 
                         Thomas` model with an analytical solution is used for the solution 
                         of the direct problem. The forward model yields good solutions 
                         when the axial dispersion coefficient is negligible. The inverse 
                         problem is formulated implicitly in which we seek to minimize the 
                         norm of the squared residues between calculated and measured 
                         values for the breakthrough curves, and for its solution the 
                         Epidemic Genetic Algorithm is used.",
  conference-location = "Campinas",
      conference-year = "18-21 set.",
             language = "pt",
         organisation = "SBMAC",
           targetfile = "cuco_epidemic.pdf",
        urlaccessdate = "16 jun. 2024"
}