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针对反舰导弹预先目标分配无法应对战场环境动态变化的难题,提出了基于领弹、数据链、卫星定位技术的在线目标分配的设想。综合考虑影响反舰作战效能的各种因素,构建了目标分配优化模型和作战效能主要评价指标的计算模型。为了满足反舰导弹协同攻击在线目标分配的实时性要求,提出了一种改进的粒子群算法。首先通过设计编码方式避免了多导弹弹道交叉和初始粒子群中由于存在大量非可行解而导致搜索效率降低的问题;然后通过引入变异和交叉算子,既增加了解的多样性,又加快了解的收敛速度;最后通过线性变化惯性权重、认知系数和社会系数,进一步提高了算法的搜索精度和搜索效率。仿真结果表明,构建的模型和提出的算法能够快速有效地解决反舰导弹协同攻击在线目标分配问题。
In view of the difficulty that the pre-target allocation of anti-ship missiles can not cope with the dynamic changes of the battlefield environment, this paper proposes the assumption of online target allocation based on the pilot-based missile, data link and satellite positioning technology. Considering various factors that affect the effectiveness of anti-ship operations, a computational model of the target allocation optimization model and the main evaluation index of operational effectiveness is constructed. In order to meet the real-time requirement of online target allocation of anti-ship missile collaborative attack, an improved particle swarm optimization algorithm is proposed. Firstly, the problem of reducing the search efficiency due to the existence of a large number of non-feasible solutions in the ballistic cross-over of multi-missile and the initial particle swarm is avoided by design coding. Then by introducing mutation and crossover operators, not only increasing the diversity of understanding but also accelerating the understanding of The convergence speed; Finally, by linear changes in inertia weight, cognitive coefficient and social coefficient, to further improve the algorithm search accuracy and search efficiency. The simulation results show that the proposed model and the proposed algorithm can quickly and effectively solve the online target allocation problem of anti-ship missile cooperative attack.