Abstract: How to optimize the test of the three-dimensional network-on-chip (3D NoC) resource core to shorten test time and increase resource utilization is one of the major problems that the 3D NoC testing faced. This work focuses on 3D NoC IP core test optimization issues, and conducts collaborative optimization research on TSV location and IP core test data distribution schemes. Under the constraints of bandwidth, power consumption and TSV quantity, the TSV location scheme and IP core test data distribution scheme are used as optimization variables and Monkey Algorithm(MA) is used to optimize. The algorithm performs local search through the climb and watch-jump process and searches in different fields with the somersault process to find the optimal solution. The elite retention strategy is added to ensure the convergence of the algorithm and the algorithm search result is more accurate. Taking the ITC'02 circuit as the experimental object, the experimental results show that the algorithm can effectively optimize the 3D NoC resource allocation, shorten the test time, and improve resource utilization.