Genetic programming for finding trajectories of underwater vehicle

Path planning for an underwater vehicle can be formulated as a multi-criterion optimization problem that can be solved by genetic programming. Two underwater vehicles are compared. For assessment of an underwater vehicle trajectory, three crucial criteria are used, a total length of a path, a smoothness of a trajectory, and a measure of safety. Some rules of genetic programming are described.