Trajectory planning in parallel kinematic manipulators using a constrained multi-objective evolutionary algorithm

Generating manipulator trajectories considering multiple objectives with kinematics and dynamics constraints is a non-trivial optimization. In this paper, a constrained multi-objective genetic algorithm (MOGA) based technique is proposed to address this problem for a general motor-driven parallel ki...

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Veröffentlicht in:	Nonlinear dynamics Jg. 67; H. 2; S. 1669 - 1681
Hauptverfasser:	Chen, Chun-Ta, Pham, Hoang-Vuong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.01.2012 Springer Nature B.V
Schlagworte:	Automotive Engineering Classical Mechanics Computer simulation Constraints Control Dynamical Systems Engineering Evolutionary algorithms Genetic algorithms Kinematics Manipulators Mechanical Engineering Multiple objective analysis Nonlinear dynamics Optimization Original Paper Searching Task space Trajectories Trajectory planning Vibration MOGA Pareto front Parallel kinematic manipulator Multi-objective optimization Trajectory planning
ISSN:	0924-090X, 1573-269X
Online-Zugang:	Volltext
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