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Event Relationship Graph Lite: Event based modeling for simulation-optimization of control policies in discrete event systems

机译:事件关系图精简版:基于事件的建模,用于离散事件系统中控制策略的仿真优化

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Simulation-optimization has received a spectacular attention in the past decade. However, the theory still cannot meet the requirements from practice. Decision makers ask for methods solving a variety of problems with diverse aggregations and objectives. To answer these needs, the interchange of solution procedures becomes a key requirement as well as the development of (1) general modeling methodologies able to represent, extend and modify simulation-optimization as a unique problem, (2) mapping procedures between formalisms to enable the use of different tools. However, no formalism treats simulation-optimization as an integrated problem. This work aims at partially filling this gap by proposing a formalism based upon Event Relationship Graphs (ERGs) to represent the system dynamics, the problem decision variables and the constraints. The formalism can be adopted for simulation-optimization of control policies governing a queueing network. The optimization of a Kanban Control System is proposed to show the whole approach and its potential benefits.
机译:在过去的十年中,仿真优化受到了极大的关注。但是,该理论仍然不能满足实践的要求。决策者要求使用各种聚合方法和目标来解决各种问题的方法。为了满足这些需求,解决方案过程的互换成为一项关键要求,并且发展为(1)能够将模拟优化表示,扩展和修改为一个独特问题的通用建模方法,(2)形式主义之间的映射过程以实现使用不同的工具。但是,没有形式主义将模拟优化视为一个综合问题。这项工作旨在通过提出一种基于事件关系图(ERG)的形式主义来表示系统动力学,问题决策变量和约束条件,从而部分弥补这一空白。形式化可用于控制排队网络的控制策略的模拟优化。提出了看板控制系统的优化,以显示整个方法及其潜在的好处。

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