使用质量多样性的原型发现
Prototype Discovery using Quality-Diversity
摘要：
一个迭代的计算机辅助构思过程中引入，最近的质量多样性算法，搜索不同的，以及高性能的解决方案。相似性约简被用来定义一个相似性空间，在该空间中，解被聚类到类中。这些类由原型表示，原型呈现给用户供选择。在下一次迭代中，质量多样性集中在所选类中进行搜索。对二维翼型进行了定量分析，更复杂的三维侧视镜域显示了计算机辅助构思如何有助于增强工程师的直觉，同时允许他们的设计决策影响设计过程。
英文摘要：
An iterative computer-aided ideation procedure is introduced, building on recent quality-diversity algorithms, which search for diverse as well as high-performing solutions. Dimensionality reduction is used to define a similarity space, in which solutions are clustered into classes. These classes are represented by prototypes, which are presented to the user for selection. In the next iteration, quality-diversity focuses on searching within the selected class. A quantitative analysis is performed on a 2D airfoil, and a more complex 3D side view mirror domain shows how computer-aided ideation can help to enhance engineers' intuition while allowing their design decisions to influence the design process.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
