Optimal Engineering System Design Guided by Data-Mining Methods
| العنوان: | Optimal Engineering System Design Guided by Data-Mining Methods |
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| المؤلفون: | Yu Ding, Pansoo Kim |
| المصدر: | Technometrics. 47:336-348 |
| بيانات النشر: | Informa UK Limited, 2005. |
| سنة النشر: | 2005 |
| مصطلحات موضوعية: | Statistics and Probability, Iterative design, Computer science, Applied Mathematics, Computer-automated design, computer.software_genre, Design objective, Surrogate model, Modeling and Simulation, Systems design, Probabilistic design, Data mining, Generative Design, Engineering design process, computer |
| الوصف: | An optimal engineering design problem is challenging because nonlinear objective functions usually need to be evaluated in a high-dimensional design space. This article presents a data-mining–aided optimal design method, that is able to find a competitive design solution with a relatively low computational cost. The method consists of four components: (1) a uniform-coverage selection method, that chooses design representatives from among a large number of original design alternatives for a nonrectangular design space; (2) feature functions, of which evaluation is computationally economical as the surrogate for the design objective function; (3) a clustering method, that generates a design library based on the evaluation of feature functions instead of an objective function; and (4) a classification method to create the design selection rules, eventually leading us to a competitive design. Those components are implemented to facilitate the optimal fixture layout design in a multistation panel assembly proc... |
| تدمد: | 1537-2723 0040-1706 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::b66a2375dfa0b9ac7e51fa328aae9b47Test https://doi.org/10.1198/004017005000000157Test |
| رقم الانضمام: | edsair.doi...........b66a2375dfa0b9ac7e51fa328aae9b47 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15372723 00401706 |
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