Surrogate assisted artificial neural network and NSGA II framework for continuous multi-objective optimization of sheet metal blanking
Sheet metal blanking optimization is traditionally performed using design-of-experiments (DOE) techniques that evaluate only discrete parameter combinations, limiting the identification of optimal operating conditions within the continuous design space. This study proposes a surrogate-assisted Artificial Neural Network...