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Automated building layout generation using deep learning and graph algorithms

Published:2023-10 Issue: Volume:154 Page:105036
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Wang Lufeng,Liu Jiepeng,Zeng Yan,Cheng Guozhong,Hu Huifeng,Hu Jiahao,Huang Xuesi

Funder

National Natural Science Foundation of China

Chongqing Municipal Science and Technology Bureau

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference67 articles.

1. Automated floorplan generation in architectural design: a review of methods and applications;Weber;Autom. Constr.,2022

2. Gaps and requirements for automatic generation of space layouts with optimised energy performance;Du;Autom. Constr.,2020

3. Generating and exploring good building layouts;Bao;ACM Trans. Graph.,2013

4. Draft layout generation of building drawings on real urban scenes with boundary particle method and priority solver;Kim;Multimed. Tools Appl.,2021

5. Building layout generation using site-embedded GAN model;Jiang;Autom. Constr.,2023

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2. Automated building layout generation: Implementation and comparison of STREAMER Early Design Configurator and SDaC Layout Designer;Journal of Building Engineering;2024-10

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4. Pix2Pix-Assisted Beijing Hutong Renovation Optimization Method: An Application to the UTCI and Thermal and Ventilation Performance;Buildings;2024-06-27

5. Intelligent floor plan design of modular high-rise residential building based on graph-constrained generative adversarial networks;Automation in Construction;2024-03

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