Built-in problems of
A problem based on the benchmark described in Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization.
A problem based on the benchmark described in NAS-Bench-101: Towards Reproducible Neural Architecture Search.
A problem based on the benchmark defined by sigopt/evalset.
A problem that uses a random forest surrogate model to evaluate parameters.
A two-objective problem that takes its name from its authors Zitzler, Deb and Thiele.