کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
173612 458602 2008 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A hybrid GA–SQP optimization technique for determination of kinetic parameters of hydrogenation reactions
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
A hybrid GA–SQP optimization technique for determination of kinetic parameters of hydrogenation reactions
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Chemical Engineering - Volume 32, Issue 7, 24 July 2008, Pages 1447–1455
نویسندگان
, , ,