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A dynamic multi-objective evolutionary algorithm with variational autoencoder-based prediction and annular-region exploration
DOI:10.1016/j.asoc.2026.116475.png)
Abstract
En 中文
• A VAE-based prediction strategy models latent structures across environments.
• A refinement and fusion mechanism improves predicted solution adaptability.
• An annular-region exploration strategy enhances local search and PS uniformity.
Keywords:
Dynamic multi-objective optimization
Variational autoencoder
Annular-region exploration
Population optimization
Prediction
Journal
IF:
6.6
Papers:
1.4W
Citations:
4.8W
Organization
No organization information available
Cited Papers
No cited papers available

