Collaborative optimization is a multi-level methodology for multidisciplinary optimization. The collaborative optimization does not require direct communication between each discipline and secures a disciplinary autonomy. But the collaborative optimization has problem at convergence of objective function and computational cost. In this paper, for better convergence, GA(Genetic Algorithm) is used as both system level optimizer and subspace level optimizer of the Collaborative optimization. In doing so, the performance of Collaborative Optimization is discussed by applying two example problems and aircraft wing design problem.