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基于PSO的混合狮子和指数式元启发式集群方法,用于高效的动态数据流管理

M Ananthi1, K Valarmathi2, A Ramathilagam3

  • 1Department of Computer Science and Business Systems, Sri Sairam Engineering College, Chennai, Tamilnadu, 600064, India.

Scientific reports
|July 2, 2025
PubMed
概括

一种新的基于PSO的混合狮子和指数式PSO的Metaheuristic集群方法 (HLEPSOMCA) 有效地管理动态数据流. 这种方法通过提高纯度来解决概念漂移和演变,从而增强实时的大数据探索.

关键词:
集群集成是指集群集成.概念的漂移概念的漂移概念的演变 概念的演变动态数据流管理 动态数据流管理指数级粒子群集优化指数级粒子群集优化狮子优化算法 狮子优化算法

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