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

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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, 5-6 August 2020, pp. 365-374
summary This paper analyzes eight assumptions that underly the general consensus in the computer-aided architectural design community that multi-objective optimization is more appropriate for and more analogous to architectural design processes than single-objective optimization. The paper discusses whether (a) architectural problems are best formulated as multi-objective optimization problems, (b) architectural design optimization is only about negotiating tradeoffs, (c) multiple objectives require multi-objective optimization, (d) Pareto fronts represent design spaces, (e) Pareto fronts require multi-objective optimization, (f) multi-objective algorithms are efficient and robust, (g) evolutionary operators make multi-objective 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 multi-objective optimization, respectively, and directions for future research.
keywords Multi-objective optimization; Architectural Design; Scalarization; Pareto front; Evolutionary Optimization
series CAADRIA
email thomas.wortmann@xjtlu.edu.cn
full text file.pdf (132,767 bytes)
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