Multi-objective optimization applications in chemical process engineering: Tutorial and review
This tutorial and review of multi-objective optimization (MOO) gives a detailed explanation of
the 5 steps to create, solve, and then select the optimum result. Unlike single-objective …
the 5 steps to create, solve, and then select the optimum result. Unlike single-objective …
Analysis of weighting and selection methods for pareto-optimal solutions of multiobjective optimization in chemical engineering applications
Optimization in chemical engineering often involves two or more objectives, which are
conflicting. Multiobjective optimization (MOO) generates a set of equally good solutions from …
conflicting. Multiobjective optimization (MOO) generates a set of equally good solutions from …
Toward a modeling, optimization, and predictive control framework for fed‐batch metabolic cybergenetics
Biotechnology offers many opportunities for the sustainable manufacturing of valuable
products. The toolbox to optimize bioprocesses includes extracellular process elements …
products. The toolbox to optimize bioprocesses includes extracellular process elements …
Design of enzymatic cascade reactors through multi-objective dynamic optimization
Multi-enzymatic cascade reactions have gathered a lot of interest lately because of their
potential for sustainable production of chemicals. In this paper, model-based, multi …
potential for sustainable production of chemicals. In this paper, model-based, multi …
Multi-objective optimization under parametric uncertainty: A Pareto ellipsoids-based algorithm
Abstract Model-based multi-objective optimization is a useful tool to compute optimal trade-
offs between multiple conflicting objectives such as minimizing energy consumption while …
offs between multiple conflicting objectives such as minimizing energy consumption while …
Making sense of parameter estimation and model simulation in bioprocesses
MC Sadino‐Riquelme, J Rivas, D Jeison… - Biotechnology and …, 2020 - Wiley Online Library
Most articles that report fitted parameters for kinetic models do not include meaningful
statistical information. This study demonstrates the importance of reporting a complete …
statistical information. This study demonstrates the importance of reporting a complete …
A Pareto aggregation approach for environmental-economic multi-objective optimization applied on a second-generation bioethanol production model
Multi-objective optimization is an important decision-making tool for energy processes, as
multiple targets need to be achieved. These objectives are usually conflicting since a single …
multiple targets need to be achieved. These objectives are usually conflicting since a single …
Optimal fed-batch bioreactor operating strategies for the microbial production of lignocellulosic bioethanol and exploration of their economic implications: A step …
The enduring adoption of greener technologies from the biofuel manufacturing industries
requires the balanced integration of multiple inter-disciplinary concerns (ie, engineering …
requires the balanced integration of multiple inter-disciplinary concerns (ie, engineering …
[HTML][HTML] Let decision-makers direct the search for robust solutions: An interactive framework for multiobjective robust optimization under deep uncertainty
The robust decision-making framework (RDM) has been extended to consider multiple
objective functions and scenarios. However, the practical applications of these extensions …
objective functions and scenarios. However, the practical applications of these extensions …
[HTML][HTML] Implementing robust thermodynamic model for reliable bubble/dew problem solution in cryogenic distillation of air separation units
F Bisotti, A Galeazzi, L Galatioto, F Masserdotti… - International Journal of …, 2021 - Elsevier
High accuracy in Equations of State (EoSs) is becoming a more and more critical aspect for
design and operational purposes in different areas of chemical and process engineering. It …
design and operational purposes in different areas of chemical and process engineering. It …