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中文摘要：
由于洪水具有的复杂性,从而增加了洪水类别划分的难度。通过人工鱼群算法优化投影寻踪模型,提出了一种新的聚类算法,并将其应用于洪水分类研究。由于鱼群觅食与聚类有着天然的相似性,将聚类中心看作食物源,通过样本抽样产生初始鱼群,利用人工鱼群算法进行全局寻优。为了说明该算法用于解决洪水分类问题的可行性和优越性,采用长江流域的重要控制站—宜昌站为研究对象,根据历史文献提供的相关数据进行分析,与实际洪水情况及前人的分类结果相对比。从分类结果来看,能说明采用投影寻踪与人工鱼群算法的可行性,通过性能比较,则进一步显示出该算法的优越性。
关于陈晓宏：
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