id 
caadria2017_118 
authors 
Kocabay, Serkan and Alaçam, Sema 
year 
2017 
title 
A MultiObjective 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 JiaotongLiverpool University, Suzhou, China, 58 April 2017, pp. 293302 
summary 
This paper presents an algorithmic framework proposal for implementation of a multiobjective 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 
multiobjective; genetic algorithm; architectural design process; case study 
series 
CAADRIA 
email 
architectserkan@gmail.com 
full text 
file.pdf (25,896,487 bytes) 
references 
Contenttype: text/plain

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last changed 
2017/05/09 08:05 
