GOALI: Biogeography-Based Optimization of Multiple Related Complex Systems

GOALI：基于生物地理学的多个相关复杂系统的优化

• 批准号: 0826124
• 负责人: Dan Simon
• 金额: $ 29.59万
• 依托单位: Cleveland State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-15 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0826124&HistoricalAwards=false
• 关键词: GOALI; Biogeography; Based; Optimization; Multiple

The research objective of this GOALI award is to develop advanced optimization methods for product design. These methods are based on the mathematics of biogeography, which is the study of the distribution, migration, speciation, and extinction of biological species. Biogeography is nature?s way of distributing species. This research will explore the feasibility of using the concepts of biogeography to aid in general problem solving. The research includes the investigation of biogeography theory, the development of biogeography-based problem-solving methods, the application of the methods to general product design, specifically automotive design, and benchmark testing of these methods. Deliverables include Internet-based biogeography optimization software for general-purpose product design optimization.If successful, the results of this research will provide a framework for optimization based on biogeography theory that has the potential to greatly improve our ability to design products which possess a high number of variable parameters. These methods will be used early in the design process, before the detailed product design has been developed, to support the designer in exploring a wide range of design options. The software developed as a result of this research will be available for solving a variety of optimization problems. Close collaboration with the industrial partner, General Motors, will provide the opportunity for the research team to test these methods on industrial problems. Graduate students will gain industry experience through summer internships at GM. The minority population of Cleveland State University provides a rich environment from which to recruit minority students for involvement in this research. Dissemination will occur through journal publications, industrial seminars and presentations at technical conferences.

该GOALI奖的研究目标是为产品设计开发先进的优化方法。这些方法是基于地理学的数学，地理学是研究生物物种的分布，迁移，物种形成和灭绝的数学。生物地理学是自然吗？物种分布的方式。本研究将探讨运用地理学的概念来协助解决一般问题的可行性。研究内容包括对地理学理论的研究、基于地理学的问题解决方法的发展、这些方法在一般产品设计中的应用，特别是在汽车设计中的应用，以及这些方法的基准测试。如果成功的话，本研究的结果将提供一个基于地理学理论的优化框架，有可能大大提高我们设计具有大量可变参数的产品的能力。这些方法将在设计过程的早期使用，在详细的产品设计开发之前，以支持设计师探索广泛的设计选项。作为本研究的结果开发的软件将可用于解决各种优化问题。与工业合作伙伴通用汽车公司的密切合作将为研究小组提供机会，在工业问题上测试这些方法。研究生将通过在通用汽车公司的暑期实习获得行业经验。克利夫兰州立大学的少数民族人口提供了一个丰富的环境，从中招募少数民族学生参与这项研究。将通过期刊出版物、工业研讨会和技术会议上的介绍进行传播。