基于E占优NSGA-2的测试优化选择方法

Test Optimization Selection Method Based on E-dominant NSGA-2

为解决测试不可靠条件下的测试选择问题,对测试不可靠条件下的测试优化选择问题进行研究。将该问题还原为多目标问题来分析,以虚警率、测试数量、测试成本为目标,以故障检测率、隔离率为约束条件建立了问题的数学模型。以贝叶斯网络测试性模型为基础,利用提出的E占优NSGA-2算法求解该问题。利用该方法对某装备开展测试优化选择设计,并与NSGA-2算法、HBPSOGA算法进行对比,验证了该方法的有效性与实用性。

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.