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math.OC2026
NomadBBO: A direct-search framework for constrained mixed-variable blackbox optimization in Python
Edward Hallé-Hannan, Christophe Tribes
Mixed-variable blackbox optimization arises in simulation-based engineering and machine learning, where objective and constraint functions are expensive to evaluate and variables m…
math.OC2026
Surrogate-based categorical neighborhoods for mixed-variable blackbox optimization
Charles Audet, Youssef Diouane, Edward Hallé-Hannan +2
In simulation-based engineering, design choices are often obtained following the optimization of complex blackbox models. These models frequently involve mixed-variable domains wit…