Abstract
AbstractIn this work, several implementations of different derivative‐free optimization algorithms are compared for the usage in chemical process optimization. As such, a benchmarking process is carried out, using optimization problems of different types to compare reliability, accuracy, and performance. Finally, using an automated reaction setup and a bespoke Python‐based script featuring a graphical user interface, all algorithms are tested in an optimization of a Suzuki‐Miyaura cross‐coupling reaction in continuous flow. To increase the scope of comparison, a model function based on the reaction is also used, to allow for a more in‐depth comparison without the use of physical resources.
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