The present application belongs to the technical field of
test vector optimization in
electronic information processing discipline, and relates to a kind of adaptive intelligent generation and optimization method of
chip test vector, by analyzing the
netlist file of the
chip to be tested, three types of weights of
signal controllability,
signal observability and fault sensitivity are given to each
signal path, the comprehensive eigenvalue of each node is calculated by forward and
backward propagation algorithm, and three-dimensional topological atlas is constructed;Based on the three-dimensional topological atlas, the
potential energy function of the candidate
test vector is defined, which is dynamically adjusted by the redundancy coefficient, coverage coefficient and entropy
weight coefficient according to the optimization progress index;
Gradient descent operator, topological tunneling operator and topological homotopy operator are used for collaborative evolution search, and operator selection,
population size and termination condition are scheduled through three-layer adaptive mechanism;Using producer-
consumer architecture combined with incremental forward
fault propagation, the test vector set is efficiently screened, and the fully adaptive and efficient generation of test vector set with high
fault coverage and low redundancy is realized.