Research On Key Technology Of CGF Tactical Encirclement And Pursuit Problem

In the moment of increasingly fierce military change,military information technology development has become a necessary process of a strong army.As an important means of analysis,research,guide the war,Simulation is being favored by military personnel,because of its high efficiency and low cost.Combat simulation system can explore the development the trend and evolution of war,which helps to understand the war deeply,reveal the mechanism of war,and thus guide the research of other warrelated problems.The authenticity of simulation determines the reliability of the simulation results and impact on the outcome of the war directly,which also makes it challenging in the field of modeling and simulation.Envelopment is an important form of mobility,its purpose is to form a tactical deployment of the enemy siege,thus cut off the enemy supply and increase the enemy consumption."Sun Zi art of the war · strategy article" once said "for law,ten times to envelop,five times to attack,twice to fight." It can be seen that siege is the preferred tactic when the number of enemies is small,which also reflects the importance of the siege process.During team combat or special combat,envelopment or circlement has become a frequently appeared tactic.In order to make the encirclement process be embodied and applied in the combat simulation system with high distinguishability and help the participants to learn and study the tactics more efficiently the tactical encirclement process can be divided into three parts including battle situation determination,target assignment and CGF autonomous Maneuvering,which carries out research on the key technologies of CGF tactical encirclement under the special combat conditions.The dynamic characteristics of CGF in the simulation combat system are modeled,and the motion speed and attack ability of both CGFs are considered.By using the properties of the relevant geometric figures,the condition of CGF encircling situation is obtained.Based on the judgment condition,Select the advantageous tactical target points and allocate CGFs to tactical target points.In this paper,the terrain factor is introduced in the estimation of time cost of CGF Maneuvering,and the A* algorithm is improved to make it fit for the optimal path planning of multi-terrain map.The CGF autonomous maneuvering process is modeled and simulated by artificial potential fields,the local minima problem may be solved to avoid the typical obstacles that may cause such problems.On this basis,a Q-learning algorithm with Q-value initialization is proposed to reduce the iteration period and the amplitude of shock,and improve the anthropic characteristics of CGF behavior.The experimental results show that the research results of the key technologies presented in this paper have applicability,which can increase the authenticity and effectiveness of the simulation combat system.