CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
References
id ecaade2020_284
authors Tan, Rachel, Patt, Trevor, Koh, Seow Jin and Chen, Edmund
year 2020
title Exploration & Validation - Making sense of generated data in large option sets
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 653-662
summary The project is a real-world case study where we advised our client in the selection of a viable and well-performing design from a set of computationally generated options. This process was undertaken while validating the algorithmic generative process and user-defined evaluation criteria through scrutinizing the other alternative options to ensure ample variability was considered. Optimisation algorithms were not ideal as low performing options were not visible to validate variability. We established variability by extracting the different groups of options, proving to the client that various operational behaviours were present and accounted for. In order to sieve through the noise and derive meaningful results, we employed methods to filter through thousands of options, including: k-means clustering, archetypal labelling and analysis, pareto front analysis and visualisation overlays. We present a sense-making and decision-making process that utilizes principles of genetic algorithms and analysis of multi-dimensional user-derived evaluation scores. To enable the client's confidence in the computational model, we proved the effectiveness of the generative model through communicating and visualizing the impact of different criterias. This ensured that operational needs were considered. The visualization methods we employed, including pareto front extraction and analysis eventually helped our clients to arrive at a decision.
keywords generative design; validation; multi-objective optimisation; k-means; pareto front; decision-making
series eCAADe
email rae.twx94@gmail.com
full text file.pdf (6,979,371 bytes)
references Content-type: text/plain
Details Citation Select
100%; open Akins, O and Özkaya, I (2002) Find in CUMINCAD Models of Design Requirement , Sixth Design and Decision Support Systems in Architecture and Urban Planning

100%; open Al-Douri, F (2018) Find in CUMINCAD The Employment of Digital Simulation in the Planning Departments in US Cities , Proceedings of eCAADe 2018

100%; open Ashour, Y and Kolarevic, B (2015) Find in CUMINCAD Heuristic Optimization in Design , Proceedings of ACADIA 2015

100%; open Belém, C and Leitão, A (2019) Find in CUMINCAD Conflicting Goals In Architecture: A study on Multi-Objective Optimisation , Proceedings of CAADRIA 2019

100%; open Chen, KW, Janssen, P and Schlueter, A (2015) Find in CUMINCAD Analysing Populations of Design Variants Using Clustering and Archetypal Analysis , Proceedings of eCAADe 2015

100%; open Evins, R (2015) Find in CUMINCAD A review of computational optimisation methods applied to sustainable building design , Renewable and Sustainable Energy Reviews, 22, pp. 230-245

100%; open Gero, JS and Balachandran, MB (1986) Find in CUMINCAD Knowledge and Design Processes , Applications of Artificial Intelligence in Engineering Problems

100%; open Han, JW, Kamber, MB and Pei, J (2011) Find in CUMINCAD Data mining: concepts and techniques , Elsevier

100%; open Hemmersam, P, Martin, N, Westvang, E, Aspen, J and Morrison, A (2015) Find in CUMINCAD Exploring Urban Data Visualisation and Public Participation in Planning , Journal of Urban Technology, 22, pp. 45-64

100%; open Rousseeuw, P (1987) Find in CUMINCAD Silhouettes: a Graphical Aid to the Interpretation and Validation of Cluster Analysis , Computational and Applied Mathematics, 20, pp. 53-65

100%; open Sevtsuk, A and Mekonnen, M (2012) Find in CUMINCAD Urban Network Analysis Toolbox , International Journal of Geomatics and Spatial Analysis, 22, p. 287-305

100%; open Wilson, L, Danforth, J, Davila, CC and Harvey, D (2019) Find in CUMINCAD How to Generate a Thousand Master Plans: A Framework for Computational Urban Design , Proceedings of SimAud 2019

last changed 2020/09/09 09:52
pick and add to favorite papersHOMELOGIN (you are user _anon_865802 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002