The concurrent subspace design is an effective method in multidisciplinary design optimization, but its search strategy has two shortcomings: one with limited ability of finding global optimum solution, and calculation complexity. To remedy the shortcomings of this search strategy, genetic algorithm is adopted and an improved current subspace design method is presented. The design process is introduced. The optimizing calculations for a test problem are finished and the results are satisfactory.