|Motion Planning of Robot Manipulator Based on Improved NSGA-II
Ying Huang* and Minrui Fei
International Journal of Control, Automation, and Systems, vol. 16, no. 4, pp.1878-1886, 2018
Abstract : "In this paper, the trajectory of a robot manipulator is planned using the non-dominated sorting genetic
algorithm II (NSGA-II). Moreover, consumed time, Cartesian trajectory length, and smooth movement are used
as the multi-objective to be optimized [1, 2]. The Pareto optimal solution set is obtained through NSGA-II, and
simulation is used to obtain and verify the results. In an actual engineering case, the optimal solution of the
Pareto solution set can be selected as the optimal path of a robot manipulator. Results show that the relationship
between consumed time and joint jerk is a priority solution to practical engineering selection. Moreover, the spatial
distribution of the optimal solution set is improved by enhancing the proposed crowding distance mechanism in the
conventional NSGA-II algorithm."
Crowding distance, joint jerk, manipulator, non-dominated sorting, NSGA-II, Pareto.