中文摘要：

为了解决作战过程中指挥控制结构设计的问题，首先定义了指挥控制结构中的各个要素，然后对问题进行了数学描述，通过定义决策实体的工作负载，以最小化工作负载的均方根为优化目标建立数学模型。在模型的求解过程中，将量子遗传算法与自适应策略相结合，形成了自适应量子遗传算法。该自适应策略包括自适应调整量子旋转门、自适应生成交叉概率、自适应生成变异概率。实验结果表明，自适应量子遗传算法具有进化速度快、搜索结果好等优点，能够较好地对平台集进行聚类，完成指挥控制结构的设计。

英文摘要：

The paper mainly solved the problem of the design of command and control structure. First, it defined the key elements in command and control structure and introduced the concept of work load of decision makers to describe the problem mathematically. Next, it developed a mathematic model aimed at minimizing the root mean square of decision makers’ work load. Finally, this paper combined the quantum genetic algorithm with self-adaption strategy and get the self-adaption quantum genetic algorithm. Major characteristic of this algorithm was adjusting the quantum rotation gate, generating the crossover probability and the mutation probability in a self-adaption way. Experimental results show that the self-adaption quantum genetic algorithm has a feature of evolving fast and searching precise, and it can cluster the platforms well to accomplish the design of command and control structure.