Advances in surrogate based modeling, feasibility analysis, and optimization: A review
A Bhosekar, M Ierapetritou - Computers & Chemical Engineering, 2018 - Elsevier
The idea of using a simpler surrogate to represent a complex phenomenon has gained
increasing popularity over past three decades. Due to their ability to exploit the black-box …
increasing popularity over past three decades. Due to their ability to exploit the black-box …
Overview of surrogate modeling in chemical process engineering
K McBride, K Sundmacher - Chemie Ingenieur Technik, 2019 - Wiley Online Library
The ability to accurately model and simulate chemical processes has been paramount to the
growing success and efficiency in process design and operation. These improvements …
growing success and efficiency in process design and operation. These improvements …
Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO
This manuscript reviews recent advances in deterministic global optimization for Mixed-
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …
Hybrid modeling in the era of smart manufacturing
Smart manufacturing (SM) is a new paradigm that allows manufacturing to enter its fourth
revolution by exploiting state-of-the art sensing, communication and computation as the …
revolution by exploiting state-of-the art sensing, communication and computation as the …
Data-driven optimization for process systems engineering applications
D Van De Berg, T Savage, P Petsagkourakis… - Chemical Engineering …, 2022 - Elsevier
Most optimization problems in engineering can be formulated as 'expensive'black box
problems whose solutions are limited by the number of function evaluations. Frequently …
problems whose solutions are limited by the number of function evaluations. Frequently …
ARGONAUT: AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems
F Boukouvala, CA Floudas - Optimization Letters, 2017 - Springer
The algorithmic framework ARGONAUT is presented for the global optimization of general
constrained grey-box problems. ARGONAUT incorporates variable selection, bounds …
constrained grey-box problems. ARGONAUT incorporates variable selection, bounds …
Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption
This paper introduces a novel methodology for the global optimization of general
constrained grey-box problems. A grey-box problem may contain a combination of black-box …
constrained grey-box problems. A grey-box problem may contain a combination of black-box …
A novel feasibility analysis method for black‐box processes using a radial basis function adaptive sampling approach
Z Wang, M Ierapetritou - AIChE Journal, 2017 - Wiley Online Library
Feasibility analysis is used to determine the feasible region of a multivariate process. This
can be difficult when the process models include black‐box constraints or the simulation is …
can be difficult when the process models include black‐box constraints or the simulation is …
[HTML][HTML] SMGO-Δ: Balancing caution and reward in global optimization with black-box constraints
In numerous applications across all science and engineering areas, there are optimization
problems where both the objective function and the constraints have no closed-form …
problems where both the objective function and the constraints have no closed-form …
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
Tree ensembles can be well-suited for black-box optimization tasks such as algorithm tuning
and neural architecture search, as they achieve good predictive performance with little or no …
and neural architecture search, as they achieve good predictive performance with little or no …