In this section
@inbook{van:2024:10.1016/b978-0-443-28824-1.50533-0,
author = {van, de Berg D and Shah, N and del, Rio-Chanona A},
booktitle = {Computer Aided Chemical Engineering},
doi = {10.1016/b978-0-443-28824-1.50533-0},
pages = {3193--3198},
publisher = {Elsevier},
title = {High-dimensional derivative-free optimization via trust region surrogates in linear subspaces},
url = {http://dx.doi.org/10.1016/b978-0-443-28824-1.50533-0},
year = {2024}
}
TY - CHAP
AB - Maintaining the benefits of derivative-free optimization in higher-dimensional decision spaces presents challenges for existing optimization methods. We introduce CUATRO_PLS - an extension of the CUATRO quadratic trust region optimizer that leverages intrinsic structures across high-dimensional black-box variables. CUATRO_PLS shows competitive convergence with leading derivative-free optimization algorithms in three high-dimensional chemical engineering case studies even in the absence or underestimation of known intrinsic dimensionality and is significantly faster than other model-based derivative-free optimization algorithms.
AU - van,de Berg D
AU - Shah,N
AU - del,Rio-Chanona A
DO - 10.1016/b978-0-443-28824-1.50533-0
EP - 3198
PB - Elsevier
PY - 2024///
SN - 9780443288241
SP - 3193
TI - High-dimensional derivative-free optimization via trust region surrogates in linear subspaces
T1 - Computer Aided Chemical Engineering
UR - http://dx.doi.org/10.1016/b978-0-443-28824-1.50533-0
UR - https://doi.org/10.1016/b978-0-443-28824-1.50533-0
ER -