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Preprint Sep 2026

Learning to Optimize UAV Path Planning for Data Sensing in Wireless Sensor Networks

UAVs have emerged as highly flexible platforms for data sensing in Wireless Sensor Networks (WSNs). Path planning for UAVs in such tasks plays a key role to assure remote sensing effectiveness and friendly energy consumption. However, existing approaches show two key limitations: i) they are primarily hand-crafted with...

Si-Jie Ma, Ze-Yuan Ma, Wei-Jia Cao et al. · 1 citation
#machine learning Open access Jan 2026

Meta-Learning-Assisted Constraint Relaxation for Constrained Black-Box Optimization

This letter proposes MeCO, a meta-learning-assisted optimizer that learns an adaptive $\epsilon$-relaxation policy for constrained BBO, and demonstrates evidence that MeCO transfers across held-out benchmark functions, higher dimensions, and an application-domain setting.

Si-Jie Ma, Ze-Yuan Ma, Yue-Jiao Gong et al. · 1 citation

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