Test optimization selection is an important step in testability design.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.On this basisthe mathematical model of the problem is established with the test quantitytest cost and false alarm rate as the objectivesand the fault detection rate and isolation rate as the constraints.Thenbased on the Bayesian network testability modelthe MOPSO-NSGA2 algorithm is used to solve the problem.Finallythe method is used to make test optimization selection for the radio altimeter of a certain missileand a comparison is made with MOPSO algorithm and NSGA-2 algorithm.The results verify the effectiveness and feasibility of the method.