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Improved Chaotic Algorithm-Based Optimization Technology of Architectural Engineering Drawing Parameters
The traditional methods deal with large sample data sets of architectural engineering drawings and they have high time complexity and space complexity as well. Their searching time is long and sometimes the results are unsatisfactory. Therefore, this paper proposes an optimization method designed fo...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441361/ https://www.ncbi.nlm.nih.gov/pubmed/36072741 http://dx.doi.org/10.1155/2022/1827209 |
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author | Ma, Xiaoqiu |
author_facet | Ma, Xiaoqiu |
author_sort | Ma, Xiaoqiu |
collection | PubMed |
description | The traditional methods deal with large sample data sets of architectural engineering drawings and they have high time complexity and space complexity as well. Their searching time is long and sometimes the results are unsatisfactory. Therefore, this paper proposes an optimization method designed for architectural engineering drawing parameters to overcome the limitations of the traditional methods. It is based on the improved chaotic algorithm. The algorithm proposes the optimization model of architectural engineering drawing (AED) parameters in the first phase. In the second phase, an improved chaos algorithm is used to optimize the parameters of architectural engineering drawing, and the modeling strategy of visual parameter optimization environment is constructed. Finally, the visualization parameter optimization process of architectural engineering drawing is completed. Through experiments, it is evidently observed that the method presented in this paper can effectively reduce the optimization time, improve the lighting illumination of buildings, and improve the optimization precision of architectural engineering drawing parameters. The proposed method considers multiple parameters and it has greater application ability in the field of architectural designs. |
format | Online Article Text |
id | pubmed-9441361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94413612022-09-06 Improved Chaotic Algorithm-Based Optimization Technology of Architectural Engineering Drawing Parameters Ma, Xiaoqiu Comput Intell Neurosci Research Article The traditional methods deal with large sample data sets of architectural engineering drawings and they have high time complexity and space complexity as well. Their searching time is long and sometimes the results are unsatisfactory. Therefore, this paper proposes an optimization method designed for architectural engineering drawing parameters to overcome the limitations of the traditional methods. It is based on the improved chaotic algorithm. The algorithm proposes the optimization model of architectural engineering drawing (AED) parameters in the first phase. In the second phase, an improved chaos algorithm is used to optimize the parameters of architectural engineering drawing, and the modeling strategy of visual parameter optimization environment is constructed. Finally, the visualization parameter optimization process of architectural engineering drawing is completed. Through experiments, it is evidently observed that the method presented in this paper can effectively reduce the optimization time, improve the lighting illumination of buildings, and improve the optimization precision of architectural engineering drawing parameters. The proposed method considers multiple parameters and it has greater application ability in the field of architectural designs. Hindawi 2022-08-28 /pmc/articles/PMC9441361/ /pubmed/36072741 http://dx.doi.org/10.1155/2022/1827209 Text en Copyright © 2022 Xiaoqiu Ma. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ma, Xiaoqiu Improved Chaotic Algorithm-Based Optimization Technology of Architectural Engineering Drawing Parameters |
title | Improved Chaotic Algorithm-Based Optimization Technology of Architectural Engineering Drawing Parameters |
title_full | Improved Chaotic Algorithm-Based Optimization Technology of Architectural Engineering Drawing Parameters |
title_fullStr | Improved Chaotic Algorithm-Based Optimization Technology of Architectural Engineering Drawing Parameters |
title_full_unstemmed | Improved Chaotic Algorithm-Based Optimization Technology of Architectural Engineering Drawing Parameters |
title_short | Improved Chaotic Algorithm-Based Optimization Technology of Architectural Engineering Drawing Parameters |
title_sort | improved chaotic algorithm-based optimization technology of architectural engineering drawing parameters |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441361/ https://www.ncbi.nlm.nih.gov/pubmed/36072741 http://dx.doi.org/10.1155/2022/1827209 |
work_keys_str_mv | AT maxiaoqiu improvedchaoticalgorithmbasedoptimizationtechnologyofarchitecturalengineeringdrawingparameters |