id 
caadria2020_177 
authors 
Wortmann, Thomas and Fischer, Thomas 
year 
2020 
title 
Does Architectural Design Optimization Require Multiple Objectives?  A critical analysis 
source 
D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans  Proceedings of the 25th CAADRIA Conference  Volume 1, Chulalongkorn University, Bangkok, Thailand, 56 August 2020, pp. 365374 
summary 
This paper analyzes eight assumptions that underly the general consensus in the computeraided architectural design community that multiobjective optimization is more appropriate for and more analogous to architectural design processes than singleobjective optimization. The paper discusses whether (a) architectural problems are best formulated as multiobjective optimization problems, (b) architectural design optimization is only about negotiating tradeoffs, (c) multiple objectives require multiobjective optimization, (d) Pareto fronts represent design spaces, (e) Pareto fronts require multiobjective optimization, (f) multiobjective algorithms are efficient and robust, (g) evolutionary operators make multiobjective algorithms efficient and robust and whether (h) computational cost is negligible. The paper presents practical examples of combining multiple objectives into one and concludes with recommendations for when to use single and multiobjective optimization, respectively, and directions for future research. 
keywords 
Multiobjective optimization; Architectural Design; Scalarization; Pareto front; Evolutionary Optimization 
series 
CAADRIA 
email 
thomas.wortmann@xjtlu.edu.cn 
full text 
file.pdf (132,767 bytes) 
references 
Contenttype: text/plain

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last changed 
2020/08/14 18:39 
