Today due to the modern electronic countermeasures (ECM) progress for opening and interception of radio traffic channels, the group control task of unmanned aerial vehicles (UA V) in the radio silence mode is relevant as ever before. The aim of this work is to develop a UAV group control algorithm in radio silence. Group management refers to the optimization problem of actions of all group participants to achieve maximum group efficiency. In the case of lack of communication every UAV due to the onboard sensors identifies goals and other UA Vs in the detection area and operates according to its own optimum plan of target distribution, based on the available information. The optimally criterion considered as a function of two factors: the losses inflicted on the enemy when attacking the target, and the time spent to attack the target. Aviation blow to the group heterogeneous distributed ground targets is considered as subject. Fire resistance from the enemy in this work is not considered. Each target in the UAV detection area is given the value of the optimality criterion, based on the expert assessments. The search task for each UA V interpreted as goal attack virtual non-existent target, which has stochastic coordinates. For all targets and group members in the detection area, the UAV has a lot of plans of target distribution and acts in accordance with the preferred option. To estimate the effectiveness of the algorithm the simulation of shock operations in Matlab was performed for a UA V group that has been operating in the radio silence mode, and for a UAV group united by a common channel for the information exchange. The comparison of the simulation results showed the feasibility of applying the proposed algorithm.