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

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id cf2017_492
authors Kocabay, Serkan; Alaçam, Sema
year 2017
title Algorithm Driven Design: Comparison of Single-Objective and Multi-Objective Genetic Algorithms in the Context of Housing Design
source Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 492-508.
summary This paper aims to present a dynamic multi objective genetic algorithm (MOGA) framework for the purpose of generating 3D mass models in the context of housing design. The proposed MOGA framework contains static and dynamic modules such as regulations, environmental condition analysis as static, behavioral models, designer-specified goals, domain-specific goals based on building types as dynamic modules. Moreover comparison of two algorithmic approaches, implementation of a single and multiple objective genetic algorithms are compared in terms of variety and usability of the generated design solutions, fitness approximation performances and the speed of the algorithms (running time). In the scope of this study, the potentials andlimitations of the proposed MOGA framework in 3D form generation, its advantages over single objective genetic algorithm are discussed, conducted with a case study.
keywords Multi-objective, Genetic Algorithm, Housing Design, Mass-model
series CAAD Futures
full text file.pdf (1,448,394 bytes)
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