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
This work serves as the first exploration on automating design of complex learning-assisted optimization algorithms by regarding MetaBBO's design loop as coding task, where openendedness is introduced into MetaBBO with recursive self-improvement capability of advanced coding agents.
Zi-Pei Yu, Yue-Jiao Gong, Ze-Yuan Ma et al.· 0 citations
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.· IEEE Computational Intellige...· 1 citation
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