一种基于离散粒子群优化的战场动态频谱指配策略

A Strategy for Dynamic Battlefield Frequency Assignment Based on Discrete Particle Swarm Optimization

针对战场频谱动态指配问题,建立了基于用频冲突等级最小的频谱指配数学模型,提出了一种采用粒子编码和交叉更新位置的离散粒子群优化算法,根据本问题特征设计了合适的适应度函数和局部搜索策略。实验结果表明,提出的算法能够有效地求解频率指配问题。

For the dynamic battlefield frequency assignment problem, a mathematical model is proposed to minimize frequency conflict grade. Then, a Discrete Particle Swarm Optimization Algorithm （DPS0） is designed to solve the model, in which particle encoding and swarm cross are conducted. The inbuih adaption function and the local search policies are carefully designed according to the characters of the model. Simulation results show that the proposed algorithm can solve frequency assignment problem effectively.