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

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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).
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