@inproceedings{fceb76ebe47b4c4e8367410cf0a97cec,
title = "Multi-objective genetic algorithms for trajectory optimization of space manipulator",
abstract = "This paper propose a multi-objective optimization algorithm to optimize the motion path of space manipulator with multi-objective function. In this formulation, Multi-Objective Genetic Algorithm (MOGA) is used to minimize the multi-objective function. The planning procedure is performed in joint space and with respect to all constraints, such as joint angle constraints, joint velocity constraints, torque constraints. We use a MOGA to search the optimal joint inter-knot parameters in order to realize the optimal motion trajectory for space manipulator. These joint inter-knot parameters mainly include joint angle and joint angular velocities. The simulation results test that the proposed multi-objective genetic algorithm has satisfactory performance.",
keywords = "Multi-objective genetic algorithm, Optimization, Space manipulator",
author = "Zhengxiong Liu and Panfeng Huang and Jie Yan and Gang Liu",
year = "2009",
doi = "10.1109/ICIEA.2009.5138722",
language = "英语",
isbn = "9781424428007",
series = "2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009",
pages = "2810--2815",
booktitle = "2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009",
note = "2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009 ; Conference date: 25-05-2009 Through 27-05-2009",
}