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GOALI: Biogeography-Based Optimization of Multiple Related Complex Systems

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:
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
项目状态:
已结题
起止时间:
2008-08-15 至 2014-07-31

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中文摘要
翻译
GOALI奖项的研究目标是为产品设计开发先进的优化方法。这些方法以生物地理学的数学为基础,研究生物物种的分布、迁移、物种形成和灭绝。生物地理学就是自然?S分布物种的方式。本研究将探讨利用生物地理学的概念来协助解决一般问题的可行性。研究内容包括生物地理学理论的研究、基于生物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,特别是汽车设计,以及这些方法的基准测试。可交付成果包括用于通用产品设计优化的基于互联网的生物地理优化软件。如果成功,这项研究的结果将提供一个基于生物地理学理论的优化框架,这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择。该软件开发作为这项研究的结果将可用于解决各种优化问题。与工业伙伴通用汽车的密切合作,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为招募少数民族学生参与本研究提供了丰富的环境。将通过期刊出版物、工业研讨会和在技术会议上的介绍进行传播。
英文摘要
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.
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SCH: INT: Optimal Prosthesis Design with Energy Regeneration
  • 批准号:
    1344954
  • 项目类别:
    Standard Grant
  • 资助金额:
    $150.86万
  • 财政年份:
    2013
  • 负责人:
    Dan Simon
  • 依托单位:
Collaborative Research: Coherence Based Decision Making: A Theoretical Framework and Practical Applications
  • 批准号:
    0351025
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $20.77万
  • 财政年份:
    2004
  • 负责人:
    Dan Simon
  • 依托单位:
Collaborative Research: Applying Constraint Satisfaction Models to Legal Reasoning
  • 批准号:
    0080424
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.88万
  • 财政年份:
    2000
  • 负责人:
    Dan Simon
  • 依托单位:
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