基于增强PSO算法的神经架构搜索方法在工业图像分类中的应用研究发表在information sciences
来源: 欧阳海滨/
广州大学
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1
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2026-02-06

Neural architecture search using an enhanced particle swarm optimization algorithm for industrial image classification

 

Highlights

  • An enhanced PSO algorithm incorporating dynamic ring neighbourhood topology and swarm entropy mutation mechanisms is proposed.
  • We develop a two-level binary particle encoding scheme to improve search efficiency.
  • We use MBConv modules as basic building blocks and replace their original SE attention with CBAM mechanisms.
  • Addressing the computational bottleneck in NAS, we propose a low-fidelity evaluation strategy.

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