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Multi-objective posture optimization for 6-DOF robotic milling via a hybrid swarm intelligence algorithm

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Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Ahead of Print.
An enhanced multi-objective, multi-leader group whale optimization algorithm (MO-MLSWOAR) is proposed to address multi-objective posture optimization for six-degree-of-freedom robotic milling. A high-stiffness, smooth-motion, and high-accuracy solution is ...