Articles | Volume 17, issue 2
https://doi.org/10.5194/ms-17-783-2026
https://doi.org/10.5194/ms-17-783-2026
Research article
 | 
28 Jul 2026
Research article |  | 28 Jul 2026

Optimal design and validation of a heavy-duty wave compensation parallel platform utilizing the NSGA-III algorithm

Tianzhong Huang, Renjie Luo, Lifeng Mao, Jia Wang, Fei Zhou, and Guoxing Zhang

Viewed

Total article views: 241 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
173 53 15 241 18 16
  • HTML: 173
  • PDF: 53
  • XML: 15
  • Total: 241
  • BibTeX: 18
  • EndNote: 16
Views and downloads (calculated since 28 Jul 2026)
Cumulative views and downloads (calculated since 28 Jul 2026)
Latest update: 07 Sep 2026
Download
Short summary
This study proposes a multi-objective optimization approach tailored for a heavy-duty wave compensation parallel platform, which integrates an artificial neural network (ANN) surrogate model with an enhanced non-dominated sorting genetic algorithm III (NSGA-III).
Share