Tactical communication datalink, as an important part of networked national defense informatization construction, is more difficult to quantitatively assess its effectiveness and transmission load balancing. In this paper, the natural connectivity of tactical communication datalink network is introduced, and an interference effectiveness assessment method based on weighted natural connectivity is proposed to realize the time sequence analysis of tactical communication datalink network. The AGCH algorithm is used to group and cluster the nodes of the tactical communication datalink network, and the adaptive genetic algorithm is used to solve the established model to improve the load balancing effect of network transmission. Relying on the tactical communication datalink network simulation system architecture, the transmission load balancing test of tactical communication datalink network is carried out. The transmission load balancing algorithm proposed in this paper has a convergence speed of 340s, and when the number of tasks increases from 50 to 300, its corresponding task completion time grows from 68s to 275s, and the load balancing differential value decreases from 0.4 to 0.34, which is always the lowest when comparing with other algorithms, such as ACO, ICA, PSO, PSO-ACO, and so on.
