This package provides tools to run Gaussian Process model-based optimization on high-dimensional continuous design spaces. Currently, the high-dimensional cases can only be handled via parameter dropout as described by Li et al, 2018.
Gaussian Process model-based optimization for single and multiple objective problems with high-dimensional design spaces.
This package provides tools to run Gaussian Process model-based optimization on high-dimensional continuous design spaces. Currently, the high-dimensional cases can only be handled via parameter dropout as described by Li et al, 2018.
Gaussian Process model-based optimization for single and multiple objective problems with high-dimensional design spaces.