论文标题
电梯优化：用于哑马建模的空间过程和Gibbs随机场方法的应用
Elevator Optimization: Application of Spatial Process and Gibbs Random Field Approaches for Dumbwaiter Modeling and Multi-Dumbwaiter Systems
论文作者
论文摘要
这项研究研究了用于模拟电梯优化的分析和定量方法。为了最大程度地提高总体电梯的使用，我们专注于创建受基于代理游戏理论启发的多用户正和系统。我们通过尝试使用空间过程方法和Gibbs随机字段方法来定义和创建基本的“ DumbWaiter”模型。这两种数学技术从不同的角度解决了问题：空间过程可以在连续空间中提供一个分析解决方案，而Gibbs随机字段提供了一个离散的框架，可以灵活地对计算机上的问题进行灵活建模。从最简单的情况开始，我们针对的假设为模型提供具体的解决方案，并开发“多个伪造者系统”。本文研究，评估并证明了这种实施策略的最终成功，以设计基本电梯的最佳政策；因此，我们不仅相信结果对行业的实用性，而且还相信它们的应用潜力。
This research investigates analytical and quantitative methods for simulating elevator optimizations. To maximize overall elevator usage, we concentrate on creating a multiple-user positive-sum system that is inspired by agent-based game theory. We define and create basic "Dumbwaiter" models by attempting both the Spatial Process Approach and the Gibbs Random Field Approach. These two mathematical techniques approach the problem from different points of view: the spatial process can give an analytical solution in continuous space and the Gibbs Random Field provides a discrete framework to flexibly model the problem on a computer. Starting from the simplest case, we target the assumptions to provide concrete solutions to the models and develop a "Multi-Dumbwaiter System". This paper examines, evaluates, and proves the ultimate success of such implemented strategies to design the basic elevator's optimal policy; consequently, not only do we believe in the results' practicality for industry, but also their potential for application.
