针对协同对抗下雷达干扰资源的管理决策问题开展研究,提出了一种基于改进蝴蝶算法的干扰资源分配方法。首先,用模糊综合评价的方法量化影响辐射源威胁等级和干扰效能的因素;然后,确定目标函数并计算干扰效能矩阵,建立干扰资源分配模型;最后,把自适应启发项和劣解接纳操作引入蝴蝶算法(BOA)对模型求解。仿真结果表明:引入改进项提高BOA探索能力和搜索效率,有效解决算法局部收敛的缺陷。对比四种经典算法和两种改进BOA算法,该算法在收敛精度和算法稳定性方面均更优,制定的干扰资源分配方案可信度更高。

Aiming at the problem of radar interference resource management decision under cooperative confrontation,a method of interference resource allocation based on the improved butterfly optimization algorithm is proposed.Firstly,fuzzy comprehensive evaluation method is used to quantify the factors that affect the threat level and jamming effectiveness of radiation sources.Then,the jamming resource allocation model is established on the basis of determining the objective function and calculating the jamming effectiveness matrix. Finally, the adaptive heuristics and inferior solution acception operation are introduced into the butterfly optimization algorithm (BOA) to solve the model.Simulation results show that the introduction of the improved terms improves the exploration ability and search efficiency of BOA,and effectively solves the local convergence defects of the algorithm.In addition,the proposed algorithm is superior to four kinds of classical algorithms and two kinds of improved BOAs in convergence accuracy and stability,and the developed interference resource allocation scheme is more reliable.

TN974