SGER: Emergent Engineering Design: Feasibility Study

SGER：紧急工程设计：可行性研究

• 批准号: 0632507
• 负责人: Tomasz Arciszewski
• 金额: --
• 依托单位: George Mason University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2008-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0632507&HistoricalAwards=false
• 关键词: SGER; Emergent; Engineering; Design; Feasibility

In this high-risk and high-payoff project, a plan to establish the feasibility of a new method for engineering design is presented. The new method will be based on the synthesis of several computational mechanisms inspired by biological processes of coevolution. Specifically, the research will focus on efficient methods of decomposition of complex engineering systems and on ways of making engineering designs more robust. Biological processes of cooperative and competitive coevolution will inspire the methods of achieving these goals. The effectiveness and efficiency of the proposed mechanisms will be verified using several examples of both simple and relatively complex design problems involving structural and mechanical systems. One of the expected contributions of the research would be the development of a modern computational tool supporting and enhancing design processes. So far, nature-inspired engineering design was almost exclusively focused, with relatively few exceptions, on design optimization issues in which the principles of evolution encoded as evolutionary algorithms were used to optimize designs. The goal of this project is to show how other computational mechanisms inspired by biological processes of coevolution can be efficiently used to decompose complex engineering designs (cooperative coevolution) and to make designs more robust (competitive coevolution). Thus, this research will build a bridge between modern biology, computer science, and engineering design. The generality of models, procedures, and algorithms proposed in this project will make them well suited for a wide range of engineering design applications.This research is also expected to have a broader impact on science and education. It will make significant contributions to the theory of coevolutionary systems by providing the first comprehensive application of its concepts, models, and procedures to engineering design.

在这个高风险、高回报的项目中，提出了一项建立工程设计新方法可行性的计划。新方法将基于受共同进化生物过程启发的几种计算机制的综合。具体来说，该研究将重点关注复杂工程系统分解的有效方法以及使工程设计更加稳健的方法。合作和竞争共同进化的生物过程将激发实现这些目标的方法。将使用涉及结构和机械系统的简单和相对复杂的设计问题的几个例子来验证所提出机制的有效性和效率。该研究的预期贡献之一是开发支持和增强设计过程的现代计算工具。到目前为止，受自然启发的工程设计几乎完全专注于设计优化问题（相对少数例外），其中使用编码为进化算法的进化原理来优化设计。该项目的目标是展示受共同进化生物过程启发的其他计算机制如何有效地用于分解复杂的工程设计（合作共同进化）并使设计更加稳健（竞争共同进化）。因此，这项研究将在现代生物学、计算机科学和工程设计之间架起一座桥梁。该项目提出的模型、程序和算法的通用性将使它们非常适合广泛的工程设计应用。这项研究也有望对科学和教育产生更广泛的影响。它将通过首次将其概念、模型和程序全面应用于工程设计，为协同进化系统理论做出重大贡献。