基于混合策略改进DBO的多无人机协同干扰策略OA

Aiming at the problem of low jamming effectiveness caused by resource allocation in multi-UAV coop-erative jamming missions against networked radar systems,a cooperative optimization method of jamming resources based on enhanced dung beetle optimization algorithm is proposed.Firstly,a multi-dimensional interference resource co-operative optimization model is constructed,integrating joint optimization of beam steering and power allocation.Second-ly,three algorithmic enhancements are implemented:Tent chaotic mapping is adopted to enhance population initializa-tion diversity,improving the global exploration capabilities;the Cauchy-Gaussian dual-mode mutation mechanism is in-troduced during the position update phase of stealing dung beetles,achieving balanced local exploitation precision through parameter self-adaptation;an environmental feedback-driven population adaptation mechanism is established to dynamically adjust population structure based on iterative optimization efficiency.Experimental simulation results dem-onstrate that the proposed algorithm significantly improves the convergence speed and global optimization capability.