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Bin-Hua Liu

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Open access Sep 2026

A Surrogate-Assisted Synergistic Co-evolutionary Framework for Computationally Expensive Neural Architecture Search

Neural Architecture Search (NAS), often formulated as a bilevel optimization problem, presents significant challenges characterized by discrete search spaces and computationally expensive performance evaluations. Standard evolutionary metaheuristics frequently encounter difficulties in such landscapes due to ineffici...

Han-Jie Xu, Ji-Yuan Chen, Jun Tang et al. · 0 citations

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