Jun Tang

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

Abstract 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...