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A collaborative optimization framework for parametric and parameter-free variables
发布时间：2025-04-30
点击次数：
- 发布时间：
- 2025-04-30
- 论文名称：
- A collaborative optimization framework for parametric and parameter-free variables
- 发表刊物：
- Engineering Computations
- 摘要：
- Findings – The decoupling treatment suggested in the ICO framework not only avoids the iteration divergence and thus optimization failure, but increases the optimal design space to some extent. The method is validated by optimizing an aircraft assembly and a high-speed train assembly.
- 合写作者：
- W. Li, Y. Wen and L. X. Li*
- 是否译文：
- 否
- 发表时间：
- 2015-04-01
