Optimal Design Processor for Structural Systems, Indo-US Cooperative Research, Award in Indian Currency

结构系统优化设计处理器，印美合作研究，印度货币奖

• 批准号: 9421299
• 负责人: C Krishnamoorthy
• 金额: $ 1.61万
• 依托单位: Indian Institute of Technology Madras
• 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 1998-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9421299&HistoricalAwards=false
• 关键词: Optimal; Design; Processor; Structural; Systems

9421299 Krishnamoorthy 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. ***

9421299 Krishnamoorthy 描述：该项目支持伊利诺伊大学工程学教授 David Goldberg 博士和印度马德拉斯印度理工学院 (IIT) 土木工程教授 C.S. Krishnamoorthy 博士的合作研究项目。 该项目旨在将美国在遗传算法（GA）（基于自然选择和自然遗传学机制的搜索程序）方面的研究成果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，从而产生一套可以大幅提高两国结构设计广度和效率的计算机工具。 计算机工作被视为开发针对结构优化而定制的原型 GA 外壳。 如果可能，将使用公共域代码（例如 Genesis 和 Splicer）以节省精力。 范围：该研究项目适合国际项目部的目标，即将具有互补人才和经验的美国和外国科学家联系起来。 这位美国科学家在遗传算法领域拥有经验和研究成果，可以从将方法扩展到结构领域的实际环境中受益。 印度理工学院的印度科学家在基于知识的结构设计方面拥有丰富的经验。 这可以受益于应用当前的遗传算法理论和技术。 ***