Abstract: In order to help commanders understand battlefield environments much better and more quickly, then respond rapidly to the dynamic changes of the environments, this paper makes researches on the grouping of operational entities. With the combination of searching abilities in GA and merits of knowledge acquisition and maintenance in CBR, the paper proposes a new grouping method. By aggregating operational entities into operational groups, the method can greatly alleviate the cognitive pressure of commanders and improve their decision efficiency.

Key words: Grouping, Genetic algorithm, Case-based reasoning (CBR)

摘要： 为减轻指挥人员的认知负担，研究了作战实体的分群问题。结合遗传算法强大的搜索能力和CBR在知识获取、维护等方面的优点，利用与CBR相结合的遗传算法求解分群问题。通过把各作战实体聚合为各种规模、各种类型的作战群体，该方法将大大减轻指挥人员的认知负担，提高其决策的效能。

关键词: 分群, 遗传算法, 基于案例推理