使QSC-NetMF-MBO,.

Nalavala Ramanjaneya Reddy1, G Arul Dalton2, K Swathi3

  • 1Department of CSE, RGM College of Engineering and Technology (Autonomous), Nandyal, A.P, 518501, India. nalavala.ramanji@gmail.com.

Scientific reports
|March 7, 2026
PubMed
概括

一个新的多策略模糊增强的君主蝶优化 (MF-MBO) 改进了智能城市和边缘计算的任务管理. 与传统方法相比,这种可适应的优化框架提高了效率,负载平衡和能源消耗.

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