Similar to Liang et al. , Hickman et al. observed the effect of model choice and task on single-and multi-objective search efficiency, except with a constraint imposed. Hickman et al. performed tests on analytical objective functions and emulators (i.e. models) trained on experimental data and demonstrated favorable performance of the Gryffin and Dragonfly optimization packages under constrained conditions.