dc.contributor.author | Pérez Martínez, Ignacio | |
dc.contributor.author | Martínez Rojas, María | |
dc.contributor.author | Soto Hidalgo, José Manuel | |
dc.date.accessioned | 2021-09-30T08:26:54Z | |
dc.date.available | 2021-09-30T08:26:54Z | |
dc.date.issued | 2020-07 | |
dc.identifier.citation | Pérez Martínez, I., Martínez Rojas, M. y Soto Hidalgo, J. M. (Julio, 2020). A preliminary approach to allocate categories of buildings into lands based on generative design. 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020. Glasgow, Gran Bretaña. https://doi.org/10.1109/FUZZ48607.2020.9177853 | es |
dc.identifier.isbn | 9781728169323 | |
dc.identifier.issn | 10987584 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12251/2020 | |
dc.description.abstract | In comparison to some other economic sectors, the productivity of workers in the construction has not increased much over the last 20 years. There are many approaches to tackle this problem, and one of them is to rethink the design process and introduce automation. In this paper, we propose a workflow that allocates houses on a plot of land. This workflow starts with GIS data and urban planning requirements and ends with a BIM model on that property. A genetic algorithm tackles the design process of allocation of houses by iterating and optimizing a parametric model. In the end, a designer chooses the final solution between the generated range. The degree of automation achieved by the algorithm will be tested by comparing the results of the algorithm with human-made designs. © 2020 IEEE. | es |
dc.language.iso | eng | es |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | A preliminary approach to allocate categories of buildings into lands based on generative design | es |
dc.type | conferenceObject | es |
dc.identifier.conferenceObject | 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 | es |
dc.identifier.doi | 10.1109/FUZZ48607.2020.9177853 | |
dc.identifier.url | https://doi.org/10.1109/FUZZ48607.2020.9177853 | es |
dc.rights.accessRights | openAccess | es |
dc.subject.keyword | Sector de la Construcción | es |
dc.subject.keyword | Lógica difusa | es |
dc.subject.keyword | Diseño arquitectónico | es |
dc.subject.keyword | Modelado BIM | es |
dc.subject.keyword | Algoritmos | es |
dc.subject.keyword | Gestión de la producción | es |
dc.subject.keyword | Construcción industrializada | es |
dc.subject.keyword | Diseño paramétrico | es |
dc.subject.keyword | Productividad | es |
dc.subject.keyword | Trabajador | es |
dc.subject.unesco | 3305.14 Viviendas | es |
dc.subject.unesco | 3305.01 Diseño Arquitectónico | es |
dc.subject.unesco | 3305.24 Construcciones Prefabricadas | es |
dc.subject.unesco | 5311.04 Organización de Recursos Humanos | es |
dc.subject.unesco | 5311.08 Niveles Optimos de Producción | es |
dc.subject.unesco | 6109.07 Evaluación del Rendimiento | es |
dc.volume.number | 2020-07 | es |
dc.item.number | 9177853 | es |