Design Space Analysis with Hyperdimensional Metamodels

使用超维元模型设计空间分析

• 批准号: 0900182
• 负责人: Cameron Turner
• 金额: $ 30万
• 依托单位: Colorado School of Mines
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-15 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0900182&HistoricalAwards=false
• 关键词: Design; Space; Analysis; Hyperdimensional; Metamodels

The research objective of this award is to develop methods that enable the product design space to be modeled so that promising regions can be identified and developed. Every product has a design space associated with the choices made during design. Often, these choices are made with limited or changing information and thus the resulting design may not lie in the best region of the design space. By modeling the design space, information about design tradeoffs and opportunities for technological innovation can be identified and used to improve the design of the product. This research focuses on the tasks of accurately modeling the design space with available data, recognizing the regions within the design space that contain the most promising designs, and applying multi-objective optimization techniques to select the best designs from these regions. Deliverables include the development of algorithms to support adaptive data collection and the handling of data from multiple sources, methods that characterize and can identify promising regions within the design space, and the integration of optimization methods within a software system that supports multi-objective optimization problems.If successful, the results of this research will provide opportunities to dramatically reduce the time it takes to design a new product while improving the quality of product designs developed with these methods. These methods will be general enough to be applied to a wide range of product design problems. Results from this research will be widely disseminated through professional meetings and conferences and through publication in disciplinary journals. Collaborations with industrial partners to evaluate these methods on real-world problems are anticipated and the undergraduate and graduate students involved in the project will benefit from their exposure to an emerging design technology.

该奖项的研究目标是开发能够对产品设计空间进行建模的方法，以便识别和开发有前途的区域。每个产品都有一个与设计过程中所做的选择相关的设计空间。通常，这些选择是在有限或不断变化的信息下做出的，因此最终的设计可能不在设计空间的最佳区域。通过对设计空间进行建模，可以识别有关设计权衡和技术创新机会的信息，并用于改进产品的设计。本研究的重点是准确建模的设计空间与可用的数据，识别区域内的设计空间，包含最有前途的设计，并应用多目标优化技术，从这些区域中选择最佳的设计任务。可实现的目标包括开发算法以支持自适应数据收集和处理来自多个源的数据，表征并可以识别设计空间内有希望的区域的方法，以及在支持多目标优化问题的软件系统中集成优化方法。这项研究的结果将提供机会，大大减少设计新产品所需的时间，同时提高用这些方法开发的产品设计的质量。这些方法将是通用的，足以适用于广泛的产品设计问题。这项研究的结果将通过专业会议和大会以及通过在学科期刊上发表而广泛传播。预计将与工业合作伙伴合作，评估这些方法在现实世界中的问题，参与该项目的本科生和研究生将受益于他们接触到一个新兴的设计技术。