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A hybrid GA-SQP optimization technique for determination of kinetic parameters of hydrogenation reactions
Computers and Chemical Engineering (2008)
  • Behrang Mansoornejad, University of Tehran
  • Navid Mostoufi, University of Tehran
  • Farhang Jalali-Farahani, University of Tehran
Abstract

A hybrid optimization technique, GA–SQP, is developed in which the genetic algorithm (GA) which is a stochastic method is combined with the sequential quadratic programming (SQP) method which is a deterministic method. This method was used to determine the kinetic parameters of the set of highly nonlinear hydrogenation reactions. Catalyst deactivation was also taken into account. The ability of GA and SQP in solving this type of problem was investigated. It was shown that although the SQP is fast, it is not able to solve this problem properly and is very sensitive to the choice of initial point. The GA was able to solve the problem after a large number of generations. It was shown that the new GA–SQP hybrid method is able to determine the final solution considerably faster than the GA while it is not sensitive to the initial point.

Disciplines
Publication Date
2008
Citation Information
Behrang Mansoornejad, Navid Mostoufi and Farhang Jalali-Farahani. "A hybrid GA-SQP optimization technique for determination of kinetic parameters of hydrogenation reactions" Computers and Chemical Engineering Vol. 32 (2008)
Available at: http://works.bepress.com/navid_mostoufi/28/