Investigating bayesian optimization for expensive-to-evaluate black box functions: application in fluid dynamics

HIGHLIGHTS

• who: Mike Diessner from the Anglia Ruskin University, United Kingdom have published the Article: Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics, in the Journal: (JOURNAL)
• what: In general, over all experiments there was no real drop in performance that can be declared as a result of adding noise up to 2.4% of the overall objective function range. In this work, NES is calculated following the approach of Mahfoze et_al , where the input power for the blowing device is estimated from real-world experimental data and a relationship . . .
  

   

  

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