Evolutionary approach for path following optimal control of multibody systems

An approach to the determination of approximate solutions of path following optimal control problems by exploiting evolutionary optimization techniques is proposed. Such an approach enables modeling and solution of a wide class of path following optimal control problems, arising in engineering practice, within a unified framework of constrained optimization techniques, including: implementation of genetic algorithms for global optimization and multiobjective control, and utilization of parallel processing to alleviate the computational burden in high dimensional optimal control problems. Computer realization of the proposed method is mainly based on MATLAB simulation programs for constrained optimization and genetic algorithms