-The performance of airlift pump is dependent on the complex two-phase flow analysis that has yet not been optimized to its full potential for aquaculture applications. In this study, initial effort on the optimization of airlift pump performance for the highest efficiencies has been carried out. Two different optimization techniques were used in the present study including the minimum of constrained nonlinear multivariable function and the Genetic Algorithm. Both method were evaluated experimentally at different pump operating conditions. The experimental results show reasonable agreement with the Genetic Algorithm over a wide range of submergence ratio and air flow rates. Although, the optimization algorithms found to offer simple analysis when trying to setup an airlift pump for an aquaculture application, however, two-phase flow modelling taking into account the operating flow pattern is considered to be the best in evaluating the airlift pump performance.