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Comparing two evolutionary algorithm based methods for layout generation: Dense packing versus subdivision

Published online by Cambridge University Press:  22 July 2014

Reinhard Koenig  and
Katja Knecht
Reinhard Koenig*
Affiliation:
Faculty of Architecture, ETH Zurich, Zurich, Switzerland
Katja Knecht
Affiliation:
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom
*
Reprint requests to: Reihard Koenig, Faculty of Architecture, ETH Zurich, Wolfgang-Pauli-Strasse 27, HIT H 31.6, Zurich 8092, Switzerland. E-mail: [email protected]
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Abstract

We present and compare two evolutionary algorithm based methods for rectangular architectural layout generation: dense packing and subdivision algorithms. We analyze the characteristics of the two methods on the basis of three floor plan scenarios. Our analyses include the speed with which solutions are generated, the reliability with which optimal solutions can be found, and the number of different solutions that can be found overall. In a following step, we discuss the methods with respect to their different user interaction capabilities. In addition, we show that each method has the capability to generate more complex L-shaped layouts. Finally, we conclude that neither of the methods is superior but that each of them is suitable for use in distinct application scenarios because of its different properties.

Keywords

Dense PackingEvolutionary AlgorithmLayout GenerationSubdivision
Type
Research Article
Information
AI EDAM , Volume 28 , Issue 3: Computational Design Synthesis , August 2014 , pp. 285 - 299
Copyright
Copyright © Cambridge University Press 2014 

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