Model-based Optimization for Architectural Design: Optimizing Daylight and Glare in Grasshopper
Model-based Optimization for Architectural Design: Optimizing Daylight and Glare in Grasshopper
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基于模型的建筑设计优化：优化 Grasshopper 中的日光和眩光
DOI：
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发表时间：
2017
期刊：
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通讯作者：
T. Wortmann
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文献类型：
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作者：
T. Wortmann
基于模型的优化是一种创新的优化策略，特别适用于时间密集型性能仿真。为了证明这一点的适当性，本文回顾了基于模拟的优化算法和基准几个（单目标和多目标）优化工具，涉及每年日光和眩光模拟的两个问题。基准测试表明，基于模型的优化在时间密集型、基于模拟的优化问题上优于其他（单目标和多目标）方法，从而使新的应用触手可及。通过这种方式，基于模型的优化有助于建筑设计师和顾问开发更多的资源和能源效率的建筑。
Model-based optimization is an innovative optimization strategy and particularly appropriate for time-intensive performance simulations. To demonstrate this appropriateness, this paper reviews simulation-based optimization algorithms and benchmarks several (single- and multi-objective) optimization tools on two problems involving annual daylight and glare simulations. The benchmarks demonstrate that model-based optimization outperforms other (single- and multi-objective) approaches on time-intensive, simulation-based optimization problems and thus puts new applications within reach. In this way, model-based optimization aids architectural designers and consultants to develop more resource- and energy-efficient buildings.