Abstract: Genetic algorithms is a global optimum algorithm. The application of genetic algorithms to evaluation of motor vehicle maneuverability and structure optimum is discussed. Based on the genetic algorithms the optimum evaluation parameter and the optimum structure parameters are evaluated to minimize the objective function that is the comprehensive evaluation index of motor vehicle maneuverability. Using these optimum parameters, a study of driver ---vehicle---road closed---loop system simulation is conducted with 4 – DOF vehicle dynamic model on the condition of single lane change. The simulation results with the optimum parameters indicate that the precision of driver---road closed---loop system following predictive course is increased by 51.7 percent and comprehensive evaluation index is decreased by 36.6 percent or so.

Key words: Evaluation parameter, Genetic algorithms, Motor vehicle maneuverability, Optimum, Simulation, Structure parameters