| id |
ecaade2022_272 |
| authors |
Soman, Aditya, Azadi, Shervin and Nourian, Pirouz |
| year |
2022 |
| title |
DeciGenArch - A generative design methodology for participatory architectural configuration via multi-criteria decision analysis |
| doi |
https://doi.org/10.52842/conf.ecaade.2022.1.459
|
| source |
Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 459–468 |
| summary |
Our approach to Generative Design converts the problems of design from the geometrical drawing of shapes in a continuous setting to topological decision making about spatial configurations in a discrete setting. The paper presents a comprehensive formulation of the zoning problem as a sub-problem of architectural 3D layout configurations. This formulation focuses on the problem of zoning as a location-allocation problem in the context of Operations Research. Specifically, we propose a methodology for solving this problem by combining a well-known Multi-Criteria Decision-Analysis (MCDA) method called 'Technique for Order of Preference by Similarity to Ideal Solution' (TOPSIS) with a Multi-Agent System (MAS) operating in a discrete design space. |
| keywords |
3D Layout problem, Participatory Design, Multi-Agent System, Multi-Criteria Decision Analysis, TOPSIS |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (2,124,112 bytes) |
| references |
Content-type: text/plain
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, TU Delft Repositories. Available at: http://resolver.tudelft.nl/uuid:c0065aed-6d44-4bee-b6f6-01a3c3f9380f
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| last changed |
2024/04/22 07:10 |
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