A method of test points optimization selection based on improved bacterial foraging algorithm

In this paper, an optimal selection method of the test points in the field of test-ability design is provided. Based on bacterial foraging algorithm and improved particle swarm optimization algorithm. This proposed method, which is named SC_BFO (Swarm Cooperation Bacteria Foraging Optimization), is applied in optimization selection of test points. Firstly, in order to ensure the availability of the algorithm, the reliability, accuracy and robustness of the algorithm are tested by using the classical test function. Subsequently, the optimization algorithm is used in a case of test-ability design and the simulation results show that FDR (Fault Detection Rate) and FIR (Fault Isolation Rate) are both improved as well as the cost of test is reduced by using the SC_BFO algorithm.