Tuning of PID controller based on a multiobjective genetic algorithm applied to a robotic manipulator

► Multiobjective optimization finds a set of solutions called non-dominated solutions. ► The NSGA-II approach is evaluated. ► This algorithm is tested in PID tuning using a robotic manipulator of two-degree-of-freedom.