Articles | Volume 13, issue 1
https://doi.org/10.5194/ms-13-123-2022
https://doi.org/10.5194/ms-13-123-2022
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

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Cited articles

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Houssein, E. H., Mahdy, M. A., and Shebl, D.: An efficient slime mould algorithm for solving multi-objective optimization problems, Expert. Syst. Appl., 187, 1–17, https://doi.org/10.1016/j.eswa.2021.115870, 2022. 
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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.