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Knowledge-guided multi-objective operation optimization strategy for grinding process considering uncertain disturbances
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DOI：10.1016/j.asoc.2025.113702.png)
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Abstract
En 中文
• A “Knowledge Sensing-Dynamic Response-Decision Generation” architecture is built, breaking static optimization limitations. • A Bi-LSTM-based bidirectional uncertainty propagation model is proposed to address multi-source perturbation coupling issues. • An improved DMPSO with knowledge embedding is designed to balance real-time performance and diversity of Pareto solutions.
Keywords:
Knowledge Sensing
Dynamic Response
Decision Generation
Bi-LSTM
DMPSO
Journal
IF:
6.6
Papers:
1.4W
Citations:
4.8W