一种基于克隆选择原理的空战目标分配算法

Target Assignment Algorithm based on Clonal Selection Principle in Air Combat

针对空战目标分配问题,在以优势函数为空战模型的基础上,提出了一种基于克隆选择原理的目标分配算法,并引入混沌算子,增强了算法中个体的多样性和稳定性,减少算法的盲目性,提高了算法的收敛速度。根据克隆选择原理,分析了算法的编码方式、克隆选择算子对算法的影响,给出了算法的流程。最后进行了仿真,结果表明了算法的有效性。

In view of the target assignment problem in air combat,on the basis of the dominant function taken as air combat model,a new target assignment algorithm based on clonal selection principle is proposed in the paper.By introducing the chaos operator,the diversity and stability of the algorithm is enhanced ,the blindness is reduced,and the convergence rate is raised.According to the clonal selection principle,the influence of the encoding method and the clonal selection operators are analyzed to the algorithm,then the algorithm flow is given.The simulation is made,the results showed that the method is effective and feasible.