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

id caadria2017_118
authors Kocabay, Serkan and Alašam, 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
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)
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