In order to improve the accuracy and timeliness of the traditional subscription/publish system distribution situation,this paper propose a content-based brokers dynamic evolution subscription method.The algorithm uses a parameter function as a predicate to make the system perform subscription update through the autonomic compute function By taking the parameter function as the predicate, the system completes the subscription update through the independent computing function and improves the subscription efficiency.This paper also presents a scheme and process for introducing the algorithm into an existing subscription/publish system;Finally, this paper did a comparative experiment with traditional method on a battlefield situation publish/subscribe system,The experimental results show that the algorithm is superior to the traditional method in the three independent repeated experiments, and the average time of the change from the user demand change to the received message is reduced by 30.2%, and the number of false push messages is reduced by 16.3%.