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Generating architectural plan with evolutionary multiobjective optimization algorithms: a benchmark case with an existent construction system

Generating architectural plan with evolutionary multiobjective optimization algorithms: a benchmark case with an existent construction system

Canestrino, Giuseppe; Laura, Greco; Spada, Francesco; Lucente, Roberta;

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In architectural design, evolutionary multiobjective optimization algorithms (EMOA) have found use in numerous practical applications in which qualitative and quantitative aspects can be transformed into fitness functions to be optimized. This paper shows that they can be used in an architectural plan design process that starts from a more traditional approach. The benchmark case uses a novel construction system, called Ac.Ca. Building, with a vast architectural and technological database, arleady validated, to generate architectural plan for a residential towerbuilding with a parametric approach and EMOA. The proposed framework differs from past research because uses spatial units with high level of architectural and tecnological definition.

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Palavras-chave: Architectural design, Parametric architecture, Performance-driven design, architectural layout, evolutionary multiobjective optimization,

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DOI: 10.5151/sigradi2020-21

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Como citar:

Canestrino, Giuseppe; Laura, Greco; Spada, Francesco; Lucente, Roberta; "Generating architectural plan with evolutionary multiobjective optimization algorithms: a benchmark case with an existent construction system", p. 149-156 . In: Congreso SIGraDi 2020. São Paulo: Blucher, 2020.
ISSN 2318-6968, DOI 10.5151/sigradi2020-21

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