Approaches for simulation model simplification
Approaches for simulation model simplification
复制标题
仿真模型简化方法
DOI：
10.1109/wsc.2017.8248126
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
D. van der Zee
中科院分区：
文献类型：
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作者：
D. van der Zee
简化被认为是建模和仿真的基本组成部分。模型简化有助于创建有用的模型-通过关注重要的和可行的系统元素-通过减少研究工作。尽管仿真模型简化的相关性得到了广泛的认可，但它仍然是一个尚未开发的领域。这反映在现有的文献和教科书中。虽然前者在解决这个问题时显示了一个支离破碎的景观，但后者通常对（未来）分析师提供的指导很少。为了促进该领域的进一步发展，我们通过提供文献综述来评估当前的进展。审查涉及的问题包括：（一）模型简化的定义和范围;（二）模型简化的原因;（三）模型复杂性不适当的驱动因素;（四）模型简化的方法。审查的目的是对这一领域开展的工作提供有益的概述，以使教育工作者、从业人员和研究人员受益。
Simplification is considered a fundamental part of modelling and simulation. Model simplification is instrumental in creating models that are useful — by focusing on system elements that matter, and feasible — by reducing study efforts. Despite its widely acknowledged relevance simulation model simplification may still be considered an underdeveloped field. This is mirrored in existing literature, and course books. While the former shows a fragmented landscape in addressing the issue, the latter often offer little guidance for the (future) analyst. To foster further development of the field we assess current progress by providing a literature review. Issues addressed by the review concern: (i) definition and scope of model simplification, (ii) reasons for model simplification, (iii) drivers of inappropriate model complexity, and (iv) approaches for model simplification. The review is meant to provide a useful overview of the work undertaken in this field, aiming to benefit educators, practitioners and researchers.