Air Combat Decision-Making for Multi-fighter Coordinated Attack Based on Probability Collectives

摘要: A new algorithm based on probability collectives was proposed to solve the decision-making of multi-fighter coordinated attack multi-target without centric control.Firstly,the distributed decision making model is missile which defined as an agent.To optimization problem in there subspace full local optimal value near global optimum solution space,the turns it into a convex space distributions collectives.Secondly,the framework extended by agent contribution rate realize accurate convergence.The simulation results show that compared with conventional methods,the method able converge more stability,scalability and faster convergence rate.