Single-step deep reinforcement learning for two- and three-dimensional optimal shape design

HIGHLIGHTS

• who: H. Ghraieb and collaborators from the Mines Paris, PSL Research University, Centre de Mise en Forme des Matu00e9riaux (CEMEF), CNRS UMR, Sophia Antipolis , France have published the research work: Single-step deep reinforcement learning for two- and three-dimensional optimal shape design, in the Journal: (JOURNAL)
• what: The authors assess first the relevance of the proposed numerical framework by revisiting the classical problem of finding the 2D shape minimizing the drag force induced by a surrounding uniform flow at zero incidence. The authors apply now the method to more meaningful aerodynamic shape optimization problems . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.