The Optimization of Engine Performance with Multi-Objective Genetic Algorithm

[[abstract]]In this study Vector Evaluated Genetic Algorithm (VEGA), one of Evolutionary Multi-Objective Optimization, is used to find the engine design parameters for the optimal performance. An engine design involves many components. A slight variation in any component may affect engine performance largely. There are also dependence among components attributes (size and/or shape). It is difficult and time-consuming to find an optimal set of design parameters for the desirable performance. Therefore, an engine design optimization system is implemented to find the fittest size and shape in each component for facilitating the engine design. Beside to shorten the run time in our system, an Artificial Neural Network is developed to simulate the behavior of the engine and to evaluate the engine performance