Dynamic industrial processes operate in time-varying environments with conflicting objectives, making realtime optimization difficult. Traditional scalarization methods use fixed objective weights and fail when conditions change. Evolutionary multi-objective algorithms can approximate the Pareto front but are too compu...
Relations in networked spatiotemporal systems are often learned from observations that entangle dynamics governed by different mechanisms, obscuring what evolves locally and how it propagates across nodes. We introduce Component-Aware Network Dynamics with Ordered Relations (CANDOR), which decomposes local dynamics bef...
Zi-Qi Wang, Dao-Jiang Hu, Cheng Bao et al.· 0 citations
This survey focuses on how cloud-side large models and edge-side small models share, update, and coordinate knowledge and identifies open challenges for trustworthy, sustainable, and self-evolving cloud–edge collaborative intelligence.
Yaxi Yang, Jing-Ye Bi, Haitao Yuan et al.· Journal of Artificial Intell...· 0 citations
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