Application of Genetic Algorithm in Kinetic Modeling of Fischer-Tropsch Synthesis

Kinetic modeling is an important issue, whose objective is the accuratedetermination of the rates of various reactions taking place in a reacting system. this issue is a pivotal element in the process design and development particularly for novel processes which arebased on reactions taking place between various types of species. the fischer tropsch (ft) reactions have been used as the kinetic modeling bench mark. general kinetic models for ft, water-gas-shift (wgs) and overall rates based on langmuir-hinshelwood-hougen-watson(lhhw) type have been considered and their optimum parameters have been obtained by genetic algorithms. the study shows the obtained model outperforms the other alternative models both ingenerality and accuracy. due to flexibility and generality ofgenetic algorithms, it seems that ga is a useful technique with lots ofpotentials in determination ofoptimum kinetic model corresponding to a set ofcomplex reactions.