Aimed at the problems that the message formats supported by multiple data links are different, and multiple data links in communicating with each other are difficult to interoperate, a multi-data link system task assignment model based on message processing platform is proposed, on which the message format is transformed and distributed to the corresponding data link. This paper analyzes several dominant metrics in multi-data links interoperability, and gives the mathematical expression. Then considering a typical application of information communication among multi-data links, a simulated annealing particle swarm algorithm is used to solve this model. The simulation result shows that multi-data link system can both meet the count of interoperability indicators and achieve effective information communication under either low load or medium load condition. At the same time, compared with the standard particle swarm optimization algorithm, the improved algorithm significantly improves the convergence speed and the global search ability.