Application of coarse-grained genetic algorithm for the optimal design of the flexible multi-body model vehicle suspensions

A parallel genetic algorithm based coarse-grained module for the optimal design of the flexible multi-body model vehicle suspensions is presented, this paper tests the algorithm on the cluster system based MPI. The results show that the application of the algorithm presented in this paper outperforms equivalent sequential genetic algorithms for the optimization and also improves the efficiency of the computing time. We also compare the coarse-grained genetic algorithm with the master-slave genetic algorithm, and find the result of the genetic algorithm based coarse-grained is better than the result of the parallel genetic algorithm based master-slave module.