基于混沌自适应萤火虫算法的UAVs分配策略

针对多无人机多类型作战任务分配问题,提出一种混沌自适应萤火虫优化算法.将全局历史最优值和自适应惯性权重引入位置公式,并采用自适应步长以加快收敛速度、提高精度.运用变尺度混沌方法改进光吸收强度系数防止其陷入局部最优解.将改进算法的应用效果与粒子群优化算法(PSO)和萤火虫算法(FA)对比,结果表明,该算法能够提升多无人机...

UAVS SCHEDULING STRATEGY BASED ON CHAOTIC ADAPTIVE FIREFLY ALGORITHM

Aiming at the multi-type combat task assignment problem of multi-UAV,a chaotic adaptive firefly optimization algorithm is proposed.The global historical optimal value and the adaptive inertia weight were introduced in the position formula,and the adaptive step size was adopted to accelerate the convergence speed and improve accuracy.Then the variable-scale chaotic method was used to improve the optical absorption intensity coefficient to prevent it from falling into the local optimal solution.The application effect of the improved algorithm was compared with PSO and FA algorithm.The results show that the algorithm can improve the response speed and efficiency of cooperative operation of multi-UAV system.The accuracy is improved by 16.07%and 11.12%respectively,and the convergence speed are increased by 31.99%and 24.79%respectively.