A hybrid GA-SQP multi-objective optimization methodology for carbon monoxide pollution minimization in Fluid Catalytic Cracking Process

• Published in: 23rd European Symposium on Computer Aided Process Engineering Vol. 32; pp. 763 - 768
• Main Authors: Cuadros, José F., Melo, Delba N.C., Nascimento, Nàdson M., Filho, Rubens Maciel, Wolf Maciel, Maria R.
• Format: Book Chapter Reference
• Language: English
• Published: 2013
• Subjects: Fluid Catalytic Cracking Process; Genetic Algorithms; Hybrid Optimization Algorithms; Hydrogen; Multi-Objective Optimization; Recycling; Sequential Quadratic Programming; Fluid Catalytic Cracking Process; Genetic Algorithms; Hybrid Optimization Algorithms; Multi-Objective Optimization; Sequential Quadratic Programming

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 conver...