| 摘要: |
| 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。 |
| 关键词: 频谱指配 冲突等级最小 粒子群优化 离散粒子群优化 适应
度函数 局部搜索策略 |
| DOI： |
|
| 基金项目: |
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| A strategy for dynamic battlefield frequency assignment based on discrete particle swarm optimization |
| YANG Kui |
| () |
| Abstract: |
| For the dynamic battlefield frequency assignment problem, a mathematical mod
el is proposed to minimize frequency conflict grade. Then, a Discrete Particle S
warm Optimization Algorithm (DPSO) is designed to
solve the model, in which particle encoding and swarm cross are conducted. The
inbuilt adaption function and the local search policies are carefully designed a
ccording to the characters of the model. Simulation results show that the propo
sed algorithm can solve frequency assignment problem effectively. |
| Key words: frequency assignment minimum conflict grade particle swarm optimization discr
ete particle swarm optimization adaptation function local search policy |
