可测试性, 测试性分配, 多目标优化, 浮点编码遗传算法

In order to solve the testability distribution problem,a multi-objective optimization model was proposed.Based on the mathematics analyses,the model was used to optimize the system test expenses and testability level.After the multi-objective problem was transformed to single-objective problem,the model was solved by floating-coding genetic algorithm.The method can improve the result’s precision,be programmed to solve the model in the condition of many more distribution parameters,and meet different distribution needs through changing the weight of every objective function.In the end,the testability indexes of a construction machinery hydraulic system were distributed by the method. The results indicate that the method can trade off the system testability and test expenses effectively, and distribute testability indexes reasonably by the restriction of system and its subsystems (or units) testability.