期刊
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
卷 48, 期 1, 页码 201-219出版社
SPRINGER
DOI: 10.1007/s00158-013-0891-z
关键词
Multi-objective optimization; Multidimensional data visualization; Product family design
资金
- US National Science Foundation [CBET-0640443]
- National Science Foundation [OCI-0821527]
Many cognitive and computational challenges accompany the design of complex engineered systems. This study proposes the many-objective visual analytics (MOVA) framework as a new approach to the design of complex engineered systems. MOVA emphasizes learning through problem reformulation, enabled by visual analytics and many-objective search. This study demonstrates insights gained by evolving the formulation of a General Aviation Aircraft (GAA) product family design problem. This problem's considerable complexity and difficulty, along with a history encompassing several formulations, make it well-suited to demonstrate the MOVA framework. The MOVA framework results compare a single objective, a two objective, and a ten objective formulation for optimizing the GAA product family. Highly interactive visual analytics are exploited to demonstrate how decision biases can arise for lower dimensional, highly aggregated problem formulations.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据