A hybrid GA-SQP multi-objective optimization methodology for carbon monoxide pollution minimization in Fluid Catalytic Cracking Process
José F. Cuadros, Delba N.C. Melo, Nàdson M. Nascimento, Rubens Maciel Filho and Maria R. Wolf Maciel, Laboratory of optimization, Design and Advanced Control (LOPCA), Faculty of Chemical Engineering, University of Campinas (UNICAMP), Campinas, SP, Brazil., josefcuadros@feq.unicamp.br
Abstract
In this work a multi-objective hybrid optimization strategy was developed considering genetic algorithms (GA) in series with sequential quadratic programming (SQP). This methodology is used to minimize carbon monoxide emissions of regenerator dense phase at the same time that maximize process conversion in Fluid Catalytic ...
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