CAREER: Harnessing the Power of Computational Intelligence for Infrastructure Systems Management and Control

职业：利用计算智能的力量进行基础设施系统管理和控制

• 批准号: 0133386
• 负责人: Adel Sadek
• 金额: $ 37.5万
• 依托单位: University of Vermont & State Agricultural College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-03-01 至 2008-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0133386&HistoricalAwards=false
• 关键词: CAREER; Harnessing; Power; Computational; Intelligence

Computational Intelligence (CI) is an emerging field of fundamental and applied research that utilizes a number of powerful computational paradigms, either separately or synergistically, to solve problems that defy solutions using traditional techniques. The main paradigms of CI encompass Fuzzy Set Theory and Fuzzy Logic (FL), Neural Networks (NN), Reinforcement Learning (RL), and Genetic Algorithms (GAs). In this research, the PI will probe how CI paradigms can be utilized to address a number of critical research problems that are at the very heart of the infrastructure engineering profession at the present time. This will include the use of CI for: (1) the on-line management and control of transportation networks in the context of Intelligent Transportation Systems (ITS); (2) determining "optimal" budget allocation in the context of integrated infrastructure management systems; and (3) deriving land use limits from infrastructure capacity. The different research activities of the study will complement a corresponding education plan that has the following objectives: (1) strengthen the Information Technology (IT) content of Civil Engineering (CE) curricula; (2) experiment with learning strategies that promote active learning; and (3) undertake high school outreach. To achieve these goals, the study will develop a new course on CI applications in CE, as well as develop educational modules on ITS to be incorporated in undergraduate transportation classes. The study will also experiment with the "Just-in-Time Teaching" (JiTT) strategy, a pedagogical strategy that works through a fusion of high-tech and low-tech teaching elements. In addition, the study will establish an outreach program to local high schools that will provide the opportunity to select junior and senior students to work with faculty mentors on independent research projects.

计算智能(CI)是一个新兴的基础和应用研究领域，它利用许多强大的计算范式，单独或协同地解决那些无法使用传统技术解决的问题。人工智能的主要研究范式包括模糊集理论和模糊逻辑(FL)、神经网络(NN)、强化学习(RL)和遗传算法(GAS)。在这项研究中，PI将探索如何利用CI范例来解决一些关键的研究问题，这些问题目前是基础设施工程专业的核心。这将包括将CI用于：(1)在智能运输系统(ITS)的背景下对运输网络进行在线管理和控制；(2)在综合基础设施管理系统的背景下确定“最佳”预算分配；(3)根据基础设施能力得出土地使用限制。这项研究的不同研究活动将补充相应的教育计划，该计划有以下目标：(1)加强土木工程(CE)课程的信息技术(IT)内容；(2)试验促进主动学习的学习策略；(3)开展高中推广活动。为了实现这些目标，这项研究将开发一门关于计算机智能在计算机辅助教学中的应用的新课程，以及开发将被纳入本科交通课程的智能计算机教学模块。这项研究还将试验“即时教学”(JITT)策略，这是一种融合高科技和低技术教学元素的教学策略。此外，这项研究将建立一个面向当地高中的外展计划，提供机会挑选低年级和高年级学生与教师导师合作开展独立研究项目。