Research Initiation: Hybrid Optimizers for Topological and Multidisciplinary Decision Making in Engineering Design

研究启动：工程设计中拓扑和多学科决策的混合优化器

• 批准号: 9111369
• 负责人: Anoop Dhingra
• 金额: $ 5.95万
• 依托单位: University of Wisconsin-Milwaukee
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-09-01 至 1995-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9111369&HistoricalAwards=false
• 关键词: Research; Initiation; Hybrid; Optimizers; Topological

In the engineering design process, the decisions pertaining to the topology of the system are in general, based on intuition and experience. Once the topology has been selected, the dimensional variables of the system are sized and optimized for the selected topology. This, however, may not provide the best solution since other competing topologies have already been rejected based on intuition. This research plans to incorporate topological decisions in the framework of design optimization. This will be done by using 0-1 design variables to represent topological decisions involving a choice between alternative designs. Another related problem which will be addressed in this research deals with the support of multidisciplinary considerations in the design process. This will be accomplished through a use of multiple objective functions in the problem formulation. This research will furnish a design tool which can be utilized to (i) generate and evaluate the feasibility and relative merit of alternative design concepts, (ii) help develop detailed optimum designs for promising concepts, and (iii) will provide an impetus for the development of better computer-aided design tools and optimization methodologies to help support preliminary and detailed design activities.

在工程设计过程中， 对系统拓扑结构的描述一般都是基于直觉 和经验。 选择拓扑后， 系统的尺寸变量的大小和优化， 选择拓扑 然而，这可能并不能提供最好的 解决方案，因为其他竞争拓扑已经 基于直觉被拒绝。 这项研究计划将 在设计优化的框架内进行拓扑决策。 这将通过使用0-1设计变量来表示 涉及方案选择的拓扑决策 的设计. 另一个相关的问题，这将是解决这一问题， 研究涉及多学科考虑的支持 in the design设计process处理. 这将通过使用 多目标函数的问题公式化。 本研究将提供一个设计工具， （i）产生和评估以下各项的可行性和相对优点： 替代设计概念，（ii）帮助制定详细的优化方案 设计有前途的概念，（iii）将提供动力 开发更好的计算机辅助设计工具， 优化方法，以帮助支持初步和详细的 设计活动。