The invention discloses an intelligent optimization method for power-memory-computing three-dimensional packaging heat dissipation reliability based on heterogeneous integration, and belongs to the technical field of advanced packaging and thermal management of integrated circuits. The method comprises the following steps: firstly, determining packaging structure parameters, and obtaining a sample
data set through a mixed horizontal orthogonal test and finite element
thermal simulation; secondly, on the basis of
signal-to-
noise ratio and
range analysis, the influence weight of each parameter on the
junction temperature is quantified, key parameters and secondary parameters are distinguished, the secondary parameters are fixed to the optimal level, the key parameters are determined, and the
thermal simulation model is corrected; then training a
random forest regression model based on all
test data, and constructing an agent model; and finally, performing automatic collaborative optimization on the specific size of each layer of
chip by adopting an NSGA-II multi-target
genetic algorithm according to the proxy model, so as to minimize the highest
junction temperature at the same time. According to the method, high-cost physical
simulation is converted into an efficient intelligent optimization process, and the
thermal reliability, the design efficiency and the product performance stability of packaging are remarkably improved.