多策略改进的沙猫群优化:全球优化和特征选择

Liguo Yao1,2, Jun Yang1,2, Panliang Yuan3

  • 1School of Mechanical and Electrical Engineering, Guizhou Normal University, Guiyang 550025, China.

PubMed
概括

本研究介绍了一种多策略改进的沙猫群优化 (MSCSO) 算法. 与现有方法相比,增强的MSCSO在全球优化和特征选择任务中表现出卓越的性能.

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