Is there any real advantage of using reinforcement learning instead of factorial experimental design, like Taguchi or D-optimal design, for parameterization of metaheuristics?
See Montgomery Design and Analysis of Experiments to begin to get started on the study of these methods. David Booth
BTW be sure to look at the Response Surface Methods section of the Montgomery book.
David Booth
Dear Kennedy Araújo,
I suggest you to see links and attached files on topic.
https://hal.inria.fr/hal-02745295/document
https://ntrs.nasa.gov/api/citations/20100012849/downloads/20100012849.pdf
Article Techniques for Optimizing Parameters of Soil Nailed Vertical Cut
Article Genetic Algorithm Parameter Optimization Using Taguchi Metho...
Article A Survey of Automatic Parameter Tuning Methods for Metaheuristics
Best regards
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