Weapon Target Assignment Based on Improved Discrete Wolf Pack Algorithm
With the rise of collaboration between UAVs and intelligent ammunition,efficient weapon target assignment has become a research focus.The traditional mathematical model is too single and can not meet the reasonable requirements of air to ground target assignment;The commonly used meta heuristic algorithms have slow iterations and are prone to falling into the locally optimal solution.In order to solve the problem of weapon target assignment,a new mathematical model and an improved discrete wolf pack algorithm are proposed.In the model,maximizing the value of the destroyed target,minimizing the friendly losses,and coordinating ammunition strikes should be taken into consideration;Levy flight strategy,Hamming distance,and encoding segment replacement are introduced to improve the intelligent behaviors in wolf pack algorithm.The efficiency and feasibility of the new algorithm are verified through comparative simulation.
weapon target assignmentdiscrete wolf pack algorithmlevy flighthamming distancecombination optimization model
万方数据
维普
