For solving test optimization selection under unreliable test condition, this paper mainly studies the test optimization selection problem under the condition of unreliable test. Firstly, the problem is reduced to a multi-objective problem for analysis. The mathematical model of the problem is established with the false alarm rate, test cost and false alarm rate as the objectives, and the fault detection rate and isolation rate as the constraints. Then, taking Bayesian network testability model as example, the E-dominant NSGA-2 algorithm is used to solve the problem. Finally, the method is used to optimize the test of certain type equipment. The design is selected and compared with NSGA-2 algorithm and HBPSOGA algorithm to verify the effectiveness and practicability of the method.