Target allocation method based on multi-objective particle swarm optimization algorithm

Qing Liu, Yunzheng Liu, Dexian Zeng
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Abstract

Aiming at the target distribution problem of anti-aircraft weapon firepower, a target allocation method based on multitarget particle swarm is proposed. The mathematical model of incoming target allocation constraint optimization is established, and the multi-target particle swarm algorithm is used to solve the target allocation model. The inertia weights in the velocity update formula of the particle swarm algorithm and the learning factor assignment method are improved. Compared with the simulation results and actual experience judgment, the designed algorithm solves the target problem in the air defense weapon system to a certain extent.
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基于多目标粒子群优化算法的目标分配方法
针对防空武器火力目标分配问题,提出了一种基于多目标粒子群的目标分配方法。建立了来袭目标分配约束优化数学模型,采用多目标粒子群算法求解目标分配模型。改进了粒子群算法速度更新公式中的惯性权重和学习因子分配方法。与仿真结果和实际经验判断相比,所设计的算法在一定程度上解决了防空武器系统中的目标问题。
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