Blar i NTNU Open på forfatter "Schweidtmann, Artur M."
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Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes
Bradford, Eric; Schweidtmann, Artur M.; Zhang, Dongda; Jing, Keju; del Rio-Chanona, Ehecatl Antonio (Journal article; Peer reviewed, 2018)Dynamic modeling is an important tool to gain better understanding of complex bioprocesses and to determine optimal operating conditions for process control. Currently, two modeling methodologies have been applied to ... -
Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm
Bradford, Eric; Schweidtmann, Artur M.; Lapkin, Alexei A. (Journal article; Peer reviewed, 2018)Many engineering problems require the optimization of expensive, black-box functions involving multiple conflicting criteria, such that commonly used methods like multiobjective genetic algorithms are inadequate. To tackle ... -
Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives
Schweidtmann, Artur M.; Clayton, Adam D; Holmes, Nicholas; Bradford, Eric; Richard A, Bourne; Lapkin, AA (Journal article; Peer reviewed, 2018)Automated development of chemical processes requires access to sophisticated algorithms for multi-objective optimization, since single-objective optimization fails to identify the trade-offs between conflicting performance ...