区域反导目标分配模型优化分析

区域反导目标分配是多资源约束,按照一定分配准则循环分配的过程.分析了区域反导目标分配流程与准则,构建综合拦截概率和作战效费比的目标分配模型,并给出了该目标分配模型转化为基本0-1规划问题的方法;针对该多约束目标分配优化模型对高寻优、强实时求解算法的需求,结合生物免疫过程,引入改进的克隆选择算子、云自适应变异算子、抗体重组算子、精英抗体保存算子,提出快速收敛的克隆选择算法.仿真结果表明该算法尤其解决大规模区域反导目标分配问题时不失为较为理想的优化算法.

Optimization on target assignment model in theater anti-missile system

Target assignment of theater anti-missile system is circulation course with multi-resource restriction, adhering to certain assignment norms. Analysis on target assignment flow and guide line is given and integration of probability interception and efficiency-cost ratio target assignment model is constructed, then the approach of converting the model into simple 0-1 planning problem is seen in this paper. Aimed at the requirement of multi-restriction target assignment model for algorithm with high precision and strong real-time performance, improved clonal selection operator、cloud self-adaptive mutation operator、antibodies recombinant operator、elite antibodies preservation operator are introduced, therefore fast convergence clonal selection algorithm (FCCSA) is proposed combining with immune course. Last simulation experimental result is given, which shows FCCSA is the potential more ideal model solution algorithm.