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computational environment for building enclosure systems design

Bag om computational environment for building enclosure systems design

In the last decades, a number of developments have made global optimization of large multi-dimensional design option spaces possible. Such developments include the increase in computing power, emergence of sophisticated optimization algorithms, and new techniques for the derivation of computationally highly efficient meta-models. Along with their promise, such developments also involve a number of potential drawbacks. For one thing, meta-models occasionally fail to capture the behaviour of "non-conventional" and complex designs. Another critical problem pertains to the potentially opaque nature of large-scale global optimization exercises, which make them less amenable to provision of intuitively graspable support in a naturally iterative design process. In this context, this research explores the potential of a novel approach toward iterative global optimization of locally optimized attribute clusters of building design solutions.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9786202323055
  • Indbinding:
  • Paperback
  • Sideantal:
  • 144
  • Udgivet:
  • 5. november 2018
  • Størrelse:
  • 229x152x9 mm.
  • Vægt:
  • 222 g.
  • 2-3 uger.
  • 2. december 2024

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Beskrivelse af computational environment for building enclosure systems design

In the last decades, a number of developments have made global optimization of large multi-dimensional design option spaces possible. Such developments include the increase in computing power, emergence of sophisticated optimization algorithms, and new techniques for the derivation of computationally highly efficient meta-models. Along with their promise, such developments also involve a number of potential drawbacks. For one thing, meta-models occasionally fail to capture the behaviour of "non-conventional" and complex designs. Another critical problem pertains to the potentially opaque nature of large-scale global optimization exercises, which make them less amenable to provision of intuitively graspable support in a naturally iterative design process. In this context, this research explores the potential of a novel approach toward iterative global optimization of locally optimized attribute clusters of building design solutions.

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