1.3.0

Updates:

• Implemented problem-agnostic corrector algorithms to use if all_discrete_x is available
• Switched to LHS as fallback sampler
• Bug fixes

ArchSBO-specific updates:

• Updated default settings for hidden constraint strategies: support KPLS and auto-scale random forest
• Updated default infill selection: only use ensembles
• Added gradient-based infill optimization after the evolutionary optimization
• Updated to SMT 2.2
• Do not force cont relax kernel for PLS for SMT>=2.2
• Added more logging

v1.2.0

• Fixed instantiation of continuously-relaxed mixed-discrete Kriging models when using PLS
• Support categorical hierarchical design variables for Kriging models (SMT)
• Support changing DOE size after the fact for doe_algo
• More open interface for storing/loading (intermediate) results; including support for non file-based operations

v1.1.5

• Bug fix: ImportError when not all optional dependencies are installed
• Added support for random seed (sampling, pymoo interface, ArchSBO, HEBO, BoTorch/Ax, Trieste)

v1.1.4

• Enable Numba for SMT Kriging models
• Fix KPLS interface
• Improved documentation: https://sbarchopt.readthedocs.io/
• Various bug fixes

v1.1.3

• Added hidden constraint strategies to ArchSBO
• Support creating KPLS surrogates in ArchSBO
• Added constraints elimination strategy in ArchSBO
• Added evaluation results to the turbofan test problems
• Fixed various bugs

v1.0.0

Release v1.0.0