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According to the functional requirements of information processing unit test, a test system based on PXIe bus was designed and implemented. The system was composed of three parts: measurement and control unit, power supply unit and interface unit, and the software design of the test system was completed. According to the actual test process and the use of required resources of the information processing unit test system, the parallel test technology is introduced into the system, and the parallel analysis of the independent test tasks is carried out again. The task scheduling mathematical model of the test system is constructed, and an improved adaptive genetic algorithm (IAGA algorithm) is proposed. The complicated task scheduling problem which is difficult to optimize in parallel test module is solved. The algorithm simulation verification and experimental results analysis of the task scheduling model are carried out to verify the global solution. Compared with the serial test, the test efficiency of the obtained execution sequence is increased by 43.57%. Compared with other algorithms, the feasibility and superiority of the IAGA algorithm are verified. Finally, the IAGA algorithm is embedded into the software of the test system to realize the practical engineering application of the optimization strategy.