Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 13, issue 1
Articles | Volume 13, issue 1
https://doi.org/10.5194/ms-13-123-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/ms-13-123-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 1
Research article
 | 
25 Feb 2022
Research article |  | 25 Feb 2022

Multi-objective optimization of a redundantly actuated parallel robot mechanism for special machining

Haiqiang Zhang, Jianglong Tang, Qing Gao, Guohua Cui, Kan Shi, and Yan'an Yao

Viewed

Total article views: 1,349 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,054 256 39 1,349 29 23
  • HTML: 1,054
  • PDF: 256
  • XML: 39
  • Total: 1,349
  • BibTeX: 29
  • EndNote: 23
Views and downloads (calculated since 25 Feb 2022)
Cumulative views and downloads (calculated since 25 Feb 2022)

Viewed (geographical distribution)

Total article views: 1,293 (including HTML, PDF, and XML) Thereof 1,293 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 Nov 2024
Download
Short summary
Compared with the two traditional intelligent optimization algorithms, the results show that the particle swarm optimization configuration algorithm, based on an improved orthogonal experiment design, has a better optimization effect, and the results are improved to a certain extent. The evaluation indexes of a multi-objective optimization design are often contradictory. The designer needs to compromise and select an appropriate parameter design value.
Read more
Special issue
Advances in Service and Industrial Robotics – RAAD2021