An improved DPSO algorithm is proposed to solve the problem of jamming resource assignment.The weight coefficients and ＇acknowledge＇ parameters are changed during the iteration process to make the particles converging rapidly.An updating scheme for particles＇ position is introduced to avoid particles falling into location optimum.The efficiency and feasibility of the algorithm are tested and verified by simulation.%引入改进的离散粒子群（DPSO）算法对干扰资源分配问题进行求解。针对干扰资源分配的数学模型,给出了具体的求解方案。在迭代过程中线性改变权重系数和认知参数,使粒子快速收敛;为避免粒子陷入局部最优,引入了一种粒子位置更新机制。仿真验证了该改进算法的有效性和可行性。
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