CatMADS generalizes MADS to categorical variables via learned distance-based neighborhoods, with a convergence analysis toward Clarke-stationary points and strong but self-benchmarked results on 32 mixed-variable problems.
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CatMADS: Mesh Adaptive Direct Search for constrained blackbox optimization with categorical variables
CatMADS generalizes MADS to categorical variables via learned distance-based neighborhoods, with a convergence analysis toward Clarke-stationary points and strong but self-benchmarked results on 32 mixed-variable problems.