基于多目标模糊规划的海上要地防空动态火力分配

DWTA of air defense for strategic location on the sea based on multi-objective fuzzy programming

海上要地防空武器火力分配(weapon target assignment,WTA)是防空反导作战的关键环节,属于典型的组合优化问题。针对海上要地防空反导战场态势的不确定性、复杂性和动态性问题,提出了一种基于非支配排序的多目标量子遗传算法的模糊动态WTA(dynamic WTA,DWTA)方法。首先,在确定条件下,建立了以防御效率和作战资源损耗为目标的多目标DWTA模型;然后,根据战场态势的不确定性构建了多目标模糊DWTA模型,利用期望值法将模糊问题等价刻画为确定性问题,并基于非线性问题特征提出了线性化方法;最后,利用所提算法对该问题进行求解。仿真结果表明,所提算法具有较好的收敛效果。

Weapon target assignment(WTA)for strategic location on the sea is a key link in air defense and antimissile operations,and it is a typical combined optimization problem.Aiming at the uncertainty,complexity and dynamics of the air defense and antimissile battlefield situation in strategic location on the sea,a fuzzy dynamic WTA(DWTA)method based on non-dominated sorting multi-objective quantum genetic algorithm(NS-MOQGA)is proposed.Firstly,under certain conditions,a multi-target DWTA model with the goal of defense efficiency and combat resource consumption is established.Then,according to the uncertainty of the battlefield situation,a multi-target fuzzy DWTA model is constructed,and the fuzzy problem is equivalently described as a deterministic problem using the expected value method,and a linearization method is proposed based on the characteristics of the nonlinear problem.Finally,the improved NS-MOQGA algorithm is used to solve the problem,and the simulation results show that the proposed algorithm has a good convergence effect.