Abstract The Artificial Fish Swarm Algorithm (AFSA) is inspired by the ecological behaviors
of fish schooling in nature, viz., the preying, swarming and following behaviors. Owing to a …

Fuzzy clustering is a simple but efficient clustering method, which aims to deal with
ambiguous and overlapping data classification boundaries and provide detailed …

With the development of distributed power sources in the distribution network, the algorithm
of distribution network reconfiguration is gaining attention from experts and scholars. Its goal …

Target grouping, which is essentially a data clustering problem, is a research hotspot in the
field of battlefield situation assessment. To address an unknown battlefield environment …

Conventional unsupervised Fuzzy K-means methods (FKM) usually analyze the structure of
data solely without considering the influence of label information carried by data, which …

With the advance of information technology, many fields have begun using data clustering to
reveal data structures and obtain useful information. Most of the existing clustering …

Topic detection is an information processing technology designed to help people deal with
the growing problem of data information on the Internet. In the research literature, topic …

针对传统近邻传播聚类算法以数据点对之间的相似度作为输入度量, 由于需要预设偏向参数p
和阻尼系数λ, 算法精度无法精确控制的问题, 提出了一种跳跃跟踪麻雀搜索算法优化的交叉迭代 …

针对传统人工鱼群算法(AFSA) 在牧场巡检路径规划的过程中易陷入局部最优解,
规划的最优路径较长等问题, 提出一种改进人工鱼群算法融合遗传算法(GA) …

为解决超短期屋顶光伏功率预测精度低的问题, 本文提出了一种基于多分类器的超短期屋顶光伏
功率预测方法. 该方法是一种多模型的集成预测方法, 可根据输入的屋顶光伏数据自动的匹配相 …