GOALI: Statistically Parsimonious Adaptive Dynamic Programming for Minimizing the Environmental Impact of Airport Deicing Activities

目标:统计简约自适应动态规划,最大限度地减少机场除冰活动对环境的影响

基本信息

  • 批准号:
    0801802
  • 负责人:
  • 金额:
    $ 30.2万
  • 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
  • 起止时间:
    2008-06-01 至 2012-05-31
  • 项目状态:
    已结题

项目摘要

NSF Proposal 0801802PI: Chen, VictoriaGOALI: Statistically Parsimonious Adaptive Dynamic Programming for Minimizing the Environmental Impact of Airport Deicing ActivitiesThe objective of this research is to enable computationally-efficient numerical solutions to extremely high-dimensional, nonstationary approximate dynamic programming. This project's Dallas-Fort Worth International Airport deicing activities application involves over 7000 dimensions, while the largest solved to-date is Dr. Chen's air quality application with 524 dimensions. The approach develops a novel and challenging integration of perspectives from statistics, optimization, and reinforcement learning to create efficient new hybrid algorithms.Intellectual Merit:This research's statistical perspective is unique within the approximate dynamic programming community and is the key to parsimony. This project's integrated approach will yield new algorithms for exploration of state and decision spaces, critical for the popular reinforcement learning approach; simultaneous adaptive design and modeling, beneficial to the larger modeling community; and nonconvex optimization of statistical models, useful for general global optimization. The success of this integration will potentially transform the way researchers conduct exploration and modeling in approximate dynamic programming.Broader Impacts:This research is important because it can yield practical methods for complex, uncertain, and dynamic decision-making systems, including environmental policy, health care and medicine, energy distribution and diversity, homeland security, and disaster mitigation. Current solutions use oversimplifications that typically compromise social benefits to satisfy economic constraints, while this project seeks to efficiently represent the true system via an intelligent and parsimonious approach. As a major gateway, the airport must address issues involving many of the above systems, and a long-term collaboration with the airport will yield motivating applications benefiting education, such as dissertations, seminars, and course material.
NSF建议0801802 PI:陈,陈戈:统计吝啬自适应动态规划最大限度地减少机场除冰活动的环境影响本研究的目的是使计算效率高的数值解非常高维,非平稳近似动态规划。 该项目的达拉斯-沃斯堡国际机场除冰活动应用涉及7000多个维度,而迄今为止解决的最大的是陈博士的空气质量应用,有524个维度。 该方法开发了一种新颖且具有挑战性的统计、优化和强化学习观点的整合,以创建高效的新混合算法。智力优点:这项研究的统计观点在近似动态规划界中是独一无二的,是简约的关键。 该项目的综合方法将产生用于探索状态和决策空间的新算法,这对流行的强化学习方法至关重要;同时进行自适应设计和建模,有利于更大的建模社区;以及统计模型的非凸优化,对一般全局优化有用。 这种整合的成功将可能改变研究人员进行探索和建模的方式在近似动态programming.Broader影响:这项研究是重要的,因为它可以产生复杂的,不确定的,动态的决策系统,包括环境政策,医疗保健和医药,能源分配和多样性,国土安全和减灾的实用方法。 目前的解决方案使用过度简化,通常会损害社会效益,以满足经济约束,而这个项目旨在通过一个智能和简约的方法,有效地代表真正的系统。 作为一个主要的门户,机场必须解决涉及上述许多系统的问题,与机场的长期合作将产生有益于教育的激励性应用,如论文,研讨会和课程材料。

项目成果

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Victoria Chen其他文献

Important Food Sources of Sugars and Type 2 Diabetes: A Systematic Review and Meta-analysis of Prospective Cohort Studies
  • DOI:
    10.1016/j.jcjd.2022.09.030
  • 发表时间:
    2022-11-01
  • 期刊:
  • 影响因子:
  • 作者:
    Tauseef Khan;Victoria Chen;Danielle Lee;Mobushra Tayyiba;Ahmed Saleh;Amna Ahmed;Fei Au-Yeung;Sonia Blanco Mejia;Laura Chiavaroli;Vasanti Malik;Lawrence Leiter;Thomas Wolever;Cyril Kendall;John Sievenpiper
  • 通讯作者:
    John Sievenpiper
Are you ready? A systematic review of pre-departure resources for global health electives
  • DOI:
    10.1186/s12909-019-1586-y
  • 发表时间:
    2019-05-22
  • 期刊:
  • 影响因子:
    3.200
  • 作者:
    Anna Kalbarczyk;Emily Nagourney;Nina A. Martin;Victoria Chen;Bhakti Hansoti
  • 通讯作者:
    Bhakti Hansoti
The Derived Intransitive in Formosan and Its Implications for the Nature of Proto-Austronesian Actor Voice
福尔摩沙语派生不及物词及其对原始南岛语演员声音性质的影响
  • DOI:
    10.1353/ol.2020.0006
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0.9
  • 作者:
    Victoria Chen
  • 通讯作者:
    Victoria Chen
Atopic comorbidities associated with granuloma annulare: A case-control study of the All of Us database
  • DOI:
    10.1016/j.jaad.2023.02.012
  • 发表时间:
    2023-07-01
  • 期刊:
  • 影响因子:
  • 作者:
    Tejas P. Joshi;Victoria Chen;Jen-Li Dong;Katelyn Golden;Alexander Iacobucci;Yuli Lim;Beatrice Morrow;Madeleine Duvic
  • 通讯作者:
    Madeleine Duvic

Victoria Chen的其他文献

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{{ truncateString('Victoria Chen', 18)}}的其他基金

Workshop on Decision Analytics for Dynamic Policing; Arlington, Virginia; May 9-10, 2019
动态警务决策分析研讨会;
  • 批准号:
    1917624
  • 财政年份:
    2019
  • 资助金额:
    $ 30.2万
  • 项目类别:
    Standard Grant
EPAS/AIS Collaborative Research: Adaptive Design for Controllability of a System of Plug-in Hybrid Electric Vehicle Charging Stations
EPAS/AIS 合作研究:插电式混合动力汽车充电站系统可控性的自适应设计
  • 批准号:
    1128871
  • 财政年份:
    2011
  • 资助金额:
    $ 30.2万
  • 项目类别:
    Standard Grant
U.S.-Italy Cooperative Research: Statistical Learning for Optimal Approximate Control Theory
美意合作研究:最优近似控制理论的统计学习
  • 批准号:
    0098009
  • 财政年份:
    2001
  • 资助金额:
    $ 30.2万
  • 项目类别:
    Standard Grant

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