Recent trends on hybrid modeling for Industry 4.0
The chemical processing industry has relied on modeling techniques for process monitoring,
control, diagnosis, optimization, and design, especially since the third industrial revolution …
control, diagnosis, optimization, and design, especially since the third industrial revolution …
Metamodel-based simulation optimization: A systematic literature review
JVS do Amaral, JAB Montevechi… - … Modelling Practice and …, 2022 - Elsevier
Over the past few decades, modeling, simulation, and optimization tools have received
attention for their ability to represent and improve complex systems. The use of …
attention for their ability to represent and improve complex systems. The use of …
Design of computer experiments: A review
In this article, we present a detailed overview of the literature on the design of computer
experiments. We classify the existing literature broadly into two categories, viz. static and …
experiments. We classify the existing literature broadly into two categories, viz. static and …
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 …
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 …
Surrogate-based optimization for mixed-integer nonlinear problems
SH Kim, F Boukouvala - Computers & Chemical Engineering, 2020 - Elsevier
Simulation-based optimization using surrogate models enables decision-making through
the exchange of data from high-fidelity models and development of approximations. Many …
the exchange of data from high-fidelity models and development of approximations. Many …
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 …
Process analysis and optimization of continuous pharmaceutical manufacturing using flowsheet models
Continuous manufacturing has attracted increasing research attention in the pharmaceutical
industry within the last decade. Based on the extensive experimental studies, numerous …
industry within the last decade. Based on the extensive experimental studies, numerous …
Predicting feeder performance based on material flow properties
Purpose Accurate and consistent delivery of materials by well-designed feeders ensures
overall process stability. Importantly, feeding performance is strongly dependent on material …
overall process stability. Importantly, feeding performance is strongly dependent on material …