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Optimization of Fischer-Tropsch (FT) process in a fixed-bed reactor is carried out using non-uniform catalysts. The C 5 + yield of the reactions is maximized utilizing a combination of non-uniform catalysts across the bed. A 1D heterogeneous model is developed to simulate the bed containing uniform and non-uniform catalysts. It is found that the egg-shell and surface-layered catalysts result in higher C 5 + yield. Moreover, effects of cooling temperature are studied. Genetic Algorithm (GA) and Successive Quadratic Programming (SQP) methods are applied. Feed and cooling temperature are selected as decision variables together with distribution of non-uniform catalysts along the bed. The optimization result shows 14.47 % increase in the C 5 + yield with respect to the base condition.

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