Application of genetic algorithms to the design optimization of an active vehicle suspension system Original Research Article

The use of numerical optimization methods to partially automate the design process is demonstrated. Genetic algorithm (GA) optimization, a global search technique, is used to determine both the active control and passive mechanical parameters of a vehicle suspension system. The objective is to minimize the extreme acceleration of the passengerʹs seat, subject to constraints representing the required road-holding ability and suspension working space. GA optimization is also used for passive suspension design to compare results from the literature based on a local optimization search technique: a gradient projection method.