Multi-Objective Parametric Optimization Design for Mirrors Combined with Non-Dominated Sorting Genetic Algorithm
文献类型：期刊论文
| 作者 | L. Sun, B. Zhang, P. Wang, Z. H. Gan, P. P. Han and Y. J. Wang |
| 刊名 | Applied Sciences-Basel
 |
| 出版日期 | 2023 |
| 卷号 | 13期号:5页码:12 |
| DOI | 10.3390/app13053346 |
| 英文摘要 | The process of intelligent multi-objective parametric optimization design for mirrors is discussed in detail in this paper, with the error of the mirror surface shape and the total mass being examined as the optimization objectives. The establishment of complex objective functions for solving the optimization problem of the mirror surface shape error was realized, and manual modification of the model was avoided. Moreover, combining this with a non-dominated sorting genetic algorithm (NSGA) helped the Pareto front move towards an ideal optimal set of solutions. To verify the effectiveness of the proposed method, an aluminum alloy mirror with an aperture of 140 mm was taken as an example. The Pareto optimal solution set of the mass and surface shape error under 1 g gravity was obtained for finding the required solution and satisfying the optimization goal. In addition, this method is applicable to other complex structural design problems. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.ciomp.ac.cn/handle/181722/67863]  |
| 专题 | 中国科学院长春光学精密机械与物理研究所 |
| 推荐引用方式 GB/T 7714 | L. Sun, B. Zhang, P. Wang, Z. H. Gan, P. P. Han and Y. J. Wang. Multi-Objective Parametric Optimization Design for Mirrors Combined with Non-Dominated Sorting Genetic Algorithm[J]. Applied Sciences-Basel,2023,13(5):12. |
| APA | L. Sun, B. Zhang, P. Wang, Z. H. Gan, P. P. Han and Y. J. Wang.(2023).Multi-Objective Parametric Optimization Design for Mirrors Combined with Non-Dominated Sorting Genetic Algorithm.Applied Sciences-Basel,13(5),12. |
| MLA | L. Sun, B. Zhang, P. Wang, Z. H. Gan, P. P. Han and Y. J. Wang."Multi-Objective Parametric Optimization Design for Mirrors Combined with Non-Dominated Sorting Genetic Algorithm".Applied Sciences-Basel 13.5(2023):12. |
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