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_id	caadria2015_206
id	caadria2015_206
authors	Chien, Sheng-Fen; Hsiu-Pai Su and Yu-Wei Huang
year	2015
title	Parade
doi	https://doi.org/10.52842/conf.caadria.2015.375
source	Emerging Experience in Past, Present and Future of Digital Architecture, Proceedings of the 20th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA 2015) / Daegu 20-22 May 2015, pp. 375-384
summary	It is import to formalize design knowledge to capture tacit design experience and techniques. This research aims to utilize the power of patterns and language to formulate knowledge of parametric design. We have found through our own experience of learning and teaching parametric design, examples are the most familiar form of learning. We proposed a way of documenting design knowledge in four parts: pattern, example, case and source. We have implemented the repository as a web browser based system, named PARADE. A preliminary study of the system is conducted.
keywords	Design pattern; knowledge repository; parametric design.
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ijac201513202
id	ijac201513202
authors	Su; Zhouzhou and Wei Yan
year	2015
title	Creating and Improving a Closed Loop: Design Optimization and Knowledge Discovery in Architecture
source	International Journal of Architectural Computing vol. 13 - no. 2, 123-142
summary	This paper presents computational methods for creating and improving a closed loop of design optimization and knowledge discovery in architecture. It first introduces a design knowledge-assisted optimization improvement method with the technique - offline simulation - to reduce the computing time and improve the efficiency of the design optimization process utilizing architectural domain knowledge. It then describes a new design knowledge discovery system where design knowledge can be discovered from optimization through an automatic data mining approach. The discovered knowledge has the potential to further help improve the efficiency of the optimization method, thus forming a closed loop of improving optimization and knowledge discovery. The demonstration and validation of both methods are presented in the context of a case study with parametric form-finding for a nursing unit design with two design objectives: minimizing the nurses’ travel distance and maximizing daylighting performance in patient rooms.
series	journal
last changed	2019/05/24 09:55

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