Optimal Design Processor for Structural Systems: Indo-US Cooperative Research, Award in US and Indian Currencies

结构系统优化设计处理器：印美合作研究，美国和印度货币奖

• 批准号: 9421297
• 负责人: David Goldberg
• 金额: $ 0.95万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-05-01 至 1999-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9421297&HistoricalAwards=false
• 关键词: Optimal; Design; Processor; Structural; Systems

9421297 Goldberg Description: This project supports a cooperative research project by Dr. David Goldberg, Professor of Engineering at the University of Illinois and Dr. C.S. Krishnamoorthy, Professor of Civil Engineering at the Indian Institute of Technology (IIT), Madras, India. The project aims to merge US research results in genetic algorithms (GAs)- search procedures based on the mechanics of natural selection and natural genetics- and Indian research on structural optimization and the application of knowledge-based systems, thereby producing a set of computer tools that can substantially improve the breadth and efficacy of structural design in both countries. The computer work is viewed as the development of a prototype GA shell tailored to structural optimization. When possible, public domain codes such as Genesis and Splicer will be used to save effort. Scope: This research project is suitable for the objectives of the Division of International Programs in linking US and foreign scientists with complementary talents and experiences. The US scientist has experience and research results in the area of GA that can benefit from the extension of the methodologies to practical settings in the field of structures. The Indian scientist at the IIT has experience in knowledge-based design of structures. This can benefit from applying the current GA theory and techniques. ***

小行星9421297 产品描述：该项目支持伊利诺伊大学工程学教授大卫戈德堡博士和C. S. Krishnamoorthy，印度马德拉斯印度理工学院（IIT）土木工程教授。 该项目旨在将美国在遗传算法（GA）方面的研究成果（基于自然选择和自然遗传学机制的搜索程序）与印度在结构优化和基于知识的系统应用方面的研究成果相结合，从而产生一套计算机工具，可以大大提高两国结构设计的广度和效率。 计算机工作被看作是一个原型GA壳的开发量身定制的结构优化。 在可能的情况下，公共领域的代码，如成因和拼接器将被用来节省工作。 适用范围：该研究项目适合国际项目部的目标，将美国和外国科学家与互补的人才和经验联系起来。 这位美国科学家在遗传算法领域拥有丰富的经验和研究成果，可以将遗传算法的方法扩展到结构领域的实际环境中。 印度理工学院的印度科学家在基于知识的结构设计方面有经验。 这可以受益于应用当前的遗传算法理论和技术。 ***