摘要： 根据“隐蔽疏散配置”选取原则，提出了一种计算机辅助生成陆战旅待机地域选取方案的新方法。为克服传统蚂蚁聚类算法运行时间长、仅能处理结构化数据等不足，给出了一种两阶段模糊蚂蚁聚类算法。对第1阶段聚类后数据进行融合操作，减少了第2阶段聚类的数据量、数据分布空间和迭代次数。实验证明，该算法是一种高效率、鲁棒性好的算法。该选取方法实现了陆战旅待机地域选取方案的自动、准确、快速计算机辅助生成。

关键词: 两阶段聚类, 模糊蚂蚁聚类算法, 待机地域选取

Abstract: A new method is developed for auxiliary making marine brigade deployment plan by computer, which is based on the “concealed and scattered deployment” principle. Aiming at improving the shortage of traditional ant clustering algorithm, such as long runtime and merely handling the constructive data object, a new two phase fuzzy-ant-clustering algorithm is proposed. The first phase merges the data after clustering, so makes number of data, data distribution space and iteration time of the second phase reduced. The results of the experiment demonstrate that the algorithm is a high efficiency and good robustness algorithm. The new method realizes auxiliary choosing marine brigade deployment region by computer automatically, precisely and fast.

Key words: Two phase clustering, Fuzzy-ant-clustering algorithm, Deployment region choice