Motor bus rollover collision safety evaluation optimization method based on genetic algorithm

The invention provides a motor bus rollover collision safety evaluation optimization method based on a genetic algorithm, and the method comprises the steps: determining evaluation indexes, determining the evaluation indexes under different collision conditions according to the characteristics of motor bus rollover collision, converting a plurality of evaluation indexes into a multi-dimensional optimization problem, and building a multi-objective function model. The method comprises the following steps: randomly generating a group of feasible solutions as an initial population, setting corresponding design parameters according to the actual condition of the motor bus, carrying out iterative search on the population through crossover and mutation operations, evaluating the fitness of each individual through a multi-target fitness function, and keeping the better individual to enter the next iteration, so as to obtain the optimal design of the motor bus. When the number of iterations reaches the preset number o