| id |
caadria2017_118 |
| authors |
Kocabay, Serkan and Alaçam, Sema |
| year |
2017 |
| title |
A Multi-Objective Genetic Algorithm Framework for Earlier Phases of Architectural Design - A Case Study |
| source |
P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 293-302 |
| doi |
https://doi.org/10.52842/conf.caadria.2017.293
|
| summary |
This paper presents an algorithmic framework proposal for implementation of a multi-objective genetic algorithm (MOGA) in architectural design process. Different than the previous studies, we introduce a dynamic and extendible modular framework for multiple objectives. The objective modules with different fitness functions are connected simultaneously in the Rhino/Octopus interface, after multiplication with a constant value or a variable. In this study, we discuss the potentials and limitations of MOGA in 3D form generation, implications of MOGA in a case study and the qualitative and quantitative changes in relation to the change of constant value/ the impact ratio of competing objectives. The outcomes of the case study are investigated based on its potentiality in providing feedback in the earlier phases of decision processes in design. |
| keywords |
multi-objective; genetic algorithm; architectural design process; case study |
| series |
CAADRIA |
| email |
architectserkan@gmail.com |
| full text |
 file.pdf (25,896,487 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:51 |
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