This work evaluates distinct optimization algorithms for Computational Fluid Dynamics (CFD) simulations of motor combustion. Mainly because of the computational price of CFD simulations, emulators designed with device learning algorithms have been made use of as surrogates for that optimizers. Two varieties of emulators were being employed: a Gauss