I will explain the difficulties of non-parametric optimization from another perspective!
In the previous sections, we explained that in non-parametric optimization, the number of design variables to be determined is large, meaning that the dimensionality of the search space is high, which is why optimization algorithms using sensitivity are employed. In this article, we will further explain the difficulties of non-parametric optimization from another perspective. Please feel free to download and take a look. [Contents] ■ Episode 4: The Difficulty of Non-Parametric Optimization Part 3 "Checkerboard Phenomenon" *For more details, please refer to the PDF document or feel free to contact us.
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Kuin Co., Ltd. is a venture business company specializing in computational mechanics and CAE software development, founded with a strong desire to "enter the overwhelmingly overseas-dominated CAE software field with original Japanese products." We are committed to originality and operate under the motto "Dreamy CAE from Japan," focusing on the development, sales, and support of our own CAE software. ≪Software≫ ● Structural Optimization OPTISHAPE-TS Useful for various situations such as initial design stages and improvements to existing shapes. ● CAD Model Generation S-Generator Converts optimized shapes into CAD models. ● Image-Based Structural Analysis VOXELCON Directly models and analyzes CT images and STL data from CAD. ● General Parameter Optimization AMDESS Parameter optimization done with the ease of using spreadsheet software. ● SOLIDWORKS Add-in Structural Optimization HiramekiWorks Performs structural optimization within SOLIDWORKS and automatically generates CAD models of the resulting shapes.
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