Details
| Originalsprache | Englisch |
|---|---|
| Publikationsstatus | Veröffentlicht - 2023 |
| Veranstaltung | 30th International Conference on Intelligent Computing in Engineering 2023, EG-ICE 2023 - London, Großbritannien / Vereinigtes Königreich Dauer: 4 Juli 2023 → 7 Juli 2023 |
Konferenz
| Konferenz | 30th International Conference on Intelligent Computing in Engineering 2023, EG-ICE 2023 |
|---|---|
| Land/Gebiet | Großbritannien / Vereinigtes Königreich |
| Ort | London |
| Zeitraum | 4 Juli 2023 → 7 Juli 2023 |
Abstract
Nowadays, sustainability objective has risen to the most attention in building engineering scenarios. Multi-objective optimization techniques can act as assistance in supporting decision-making in a trade-off of various considerations in an interdisciplinary manner. In this study, we propose a recommendation system to alleviate the difficulty of informed decision-making regarding the rapid potential design space exploration, optimal design solution analysis, and dynamic interaction aligned with ongoing processes. To illustrate how the recommendation system is organized to help designers or engineers approach the general sustainability objective, an early design phase case study based on a real-world, massive energy performance certification dataset is conducted. The generated results conform to interpretations based on domain knowledge, which validate the effectiveness of the system assistance.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Angewandte Informatik
- Ingenieurwesen (insg.)
- Allgemeiner Maschinenbau
Zitieren
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- BibTex
- RIS
2023. Beitrag in 30th International Conference on Intelligent Computing in Engineering 2023, EG-ICE 2023, London, Großbritannien / Vereinigtes Königreich.
Publikation: Konferenzbeitrag › Paper › Forschung › Peer-Review
}
TY - CONF
T1 - Sustainability recommendation system for process-oriented building design alternatives under multi-objective scenarios
AU - Chen, X.
AU - Geyer, P.
PY - 2023
Y1 - 2023
N2 - Nowadays, sustainability objective has risen to the most attention in building engineering scenarios. Multi-objective optimization techniques can act as assistance in supporting decision-making in a trade-off of various considerations in an interdisciplinary manner. In this study, we propose a recommendation system to alleviate the difficulty of informed decision-making regarding the rapid potential design space exploration, optimal design solution analysis, and dynamic interaction aligned with ongoing processes. To illustrate how the recommendation system is organized to help designers or engineers approach the general sustainability objective, an early design phase case study based on a real-world, massive energy performance certification dataset is conducted. The generated results conform to interpretations based on domain knowledge, which validate the effectiveness of the system assistance.
AB - Nowadays, sustainability objective has risen to the most attention in building engineering scenarios. Multi-objective optimization techniques can act as assistance in supporting decision-making in a trade-off of various considerations in an interdisciplinary manner. In this study, we propose a recommendation system to alleviate the difficulty of informed decision-making regarding the rapid potential design space exploration, optimal design solution analysis, and dynamic interaction aligned with ongoing processes. To illustrate how the recommendation system is organized to help designers or engineers approach the general sustainability objective, an early design phase case study based on a real-world, massive energy performance certification dataset is conducted. The generated results conform to interpretations based on domain knowledge, which validate the effectiveness of the system assistance.
UR - http://www.scopus.com/inward/record.url?scp=85207216017&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:85207216017
T2 - 30th International Conference on Intelligent Computing in Engineering 2023, EG-ICE 2023
Y2 - 4 July 2023 through 7 July 2023
ER -