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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
De Almeida, A., Taborda, B., Santos, F., Kwiecinski, K. & Eloy, S. (2016). A genetic algorithm application for automatic layout design of modular residential homes. In 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016. (pp. 2774-2778). Budapest: IEEE.
Exportar Referência (IEEE) 
A. M. Almeida et al.,  "A genetic algorithm application for automatic layout design of modular residential homes", in 2016 IEEE Int. Conf. on Systems, Man, and Cybernetics, SMC 2016, Budapest, IEEE, 2016, pp. 2774-2778
Exportar BibTeX 
@inproceedings{almeida2016_1775817616254,
	author = "De Almeida, A. and Taborda, B. and Santos, F. and Kwiecinski, K. and Eloy, S.",
	title = "A genetic algorithm application for automatic layout design of modular residential homes",
	booktitle = "2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016",
	year = "2016",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/SMC.2016.7844659",
	pages = "2774-2778",
	publisher = "IEEE",
	address = "Budapest",
	organization = "",
	url = "https://ieeexplore.ieee.org/document/7844659"
}
Exportar RIS 
TY  - CPAPER
TI  - A genetic algorithm application for automatic layout design of modular residential homes
T2  - 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
AU  - De Almeida, A.
AU  - Taborda, B.
AU  - Santos, F.
AU  - Kwiecinski, K.
AU  - Eloy, S.
PY  - 2016
SP  - 2774-2778
SN  - 1062-922X
DO  - 10.1109/SMC.2016.7844659
CY  - Budapest
UR  - https://ieeexplore.ieee.org/document/7844659
AB  - This work presents an evolutionary approach that enables the automatic design of modular residential homes in mass customized production. Given a set of modular placement rules for the design, the formal problem can be viewed as a two-dimensional single large object placement problem with fixed dimensions and additional positioning constraints. This formulation results in the search of a floor plan layout constrained by dimensional and positional restrictions over a combinatorial size search space. A genetic algorithm strategy for the automation of floor plan design was implemented and shown to deliver the required design solution layouts. The layouts, when embedded into a proper graphical interface system will allow for future owners to acquire houses fitting their exact needs at affordable prices, improving the quality of living while simultaneously complying with a language of design.
ER  -