<div class="csl-bib-body">
<div class="csl-entry">Shirdel, H., Tahmasebi, F., & Mahdavi, A. (2018). Convergence toward optimal building designs via multiple iterative local optimizaitons applied to attribute clusters of design variants. In P. von Both, A. Wagner, & K. Graf (Eds.), <i>Proceedings of BauSim2018</i> (pp. 492–499). Karlsruher Institut für Technologie (KIT). http://hdl.handle.net/20.500.12708/64817</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/64817
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dc.description.abstract
The present paper explores the potential of a novel approach toward iterative global optimization of locally optimized attribute clusters of building design solutions. Thereby, clusters of design space attributes (i.e., sets of ontologically cognate aspects of designs) are made subject to multiple passes of local simulation-assisted optimization runs. Hence, instead of allocating an individual dimension to each and every variable of a complex design within the context of a single-pass global optimization campaign, multiple iterative optimization steps target coherent clusters of such attributes and pursue those until the overall design meets the expected performance (or until further performance improvement is not forthcoming).
en
dc.language.iso
en
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dc.title
Convergence toward optimal building designs via multiple iterative local optimizaitons applied to attribute clusters of design variants
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.relation.publication
Proceedings of BauSim2018
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dc.relation.doi
10.5445/IR/1000085743
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dc.description.startpage
492
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dc.description.endpage
499
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of BauSim2018
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tuw.peerreviewed
true
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tuw.relation.publisher
Karlsruher Institut für Technologie (KIT)
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tuw.relation.publisherplace
Karlsruhe
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tuw.researchTopic.id
E6
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tuw.researchTopic.name
Sustainable Production and Technologies
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E259-03 - Forschungsbereich Bauphysik und Bauökologie