EAGER: Integrated Simulation Models, Experiments, and Optimization

EAGER：集成仿真模型、实验和优化

• 批准号: 1153694
• 负责人: Lee Schruben
• 金额: $ 9万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1153694&HistoricalAwards=false
• 关键词: EAGER; Integrated; Simulation; Models; Experiments

This EAGER award will develop and demonstrate new simulation optimization algorithms that integrate methods of analysis, experimental design, and modeling to exploit the many unique characteristics of simulated systems. Current simulation experiments are almost indistinguishable from conventional real-system experiments. They take little or no advantage of the fact that in a computer experiment everything is controllable. Unlike conventional "blackbox" experimental designs, where different scenarios are applied to distinct experimental units, simulations can simultaneously run many scenarios on the same processor. The basic concept is to have competing simulated systems "race" rather than the current approach of running them sequentially (usually each on a single processor). The foundation for this research is that simulation codes are "clear boxes", at least to their creators. One not only can look inside this box, they can reach inside and change it while the simulation experiments are running.Simulations impact almost all aspects of modern society to help optimize system designs and policies. Problems that warrant simulation projects are typically high-impact and pressing. Preliminary (ad-hoc) integrated simulation experiment/models prior to this research include one involving emergency inventories of biopharmaceuticals to make their supply chains more robust to sudden disruptions (like earthquakes). This indicates that integrated simulation model/experiments can be considerably more efficient than conventional experimental designs run on simulations. This allows exploring many more options, ultimately leading to moreinformed decision making.

该EAGER奖项将开发和演示新的仿真优化算法，该算法集成了分析、实验设计和建模方法，以利用仿真系统的许多独特特性。目前的仿真实验与传统的真实系统实验几乎没有什么区别。他们很少或根本没有利用在计算机实验中一切都是可控的这一事实。与传统的“黑盒”实验设计不同，不同的场景应用于不同的实验单元，模拟可以同时在同一个处理器上运行多个场景。其基本概念是让相互竞争的模拟系统“竞赛”，而不是当前顺序运行它们的方法（通常每个系统在单个处理器上运行）。这项研究的基础是，模拟代码是“清晰的盒子”，至少对它们的创造者来说是这样。人们不仅可以看到这个盒子的内部，他们还可以在模拟实验进行时把手伸到里面并改变它。模拟影响现代社会的几乎所有方面，以帮助优化系统设计和政策。模拟项目需要解决的问题通常影响很大，而且很紧迫。在本研究之前的初步（特设）集成模拟实验/模型包括一个涉及生物制药紧急库存的实验/模型，以使其供应链在突然中断（如地震）时更加强健。这表明，集成的仿真模型/实验可以比传统的实验设计更有效地运行在仿真上。这允许探索更多的选择，最终导致更明智的决策。