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Research on Structural Optimization of Prefabricated Components Based on Improved Immune Genetic Algorithm
On the premise of satisfying the design conditions and practical engineering needs, it is of practical significance to optimize the design of assembly components. Therefore, in this paper, based on the improved immune genetic algorithm, the structural optimization of prefabricated components is deep...
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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/PMC9203183/ https://www.ncbi.nlm.nih.gov/pubmed/35720889 http://dx.doi.org/10.1155/2022/4648112 |
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author | Ma, Tingting |
author_facet | Ma, Tingting |
author_sort | Ma, Tingting |
collection | PubMed |
description | On the premise of satisfying the design conditions and practical engineering needs, it is of practical significance to optimize the design of assembly components. Therefore, in this paper, based on the improved immune genetic algorithm, the structural optimization of prefabricated components is deeply studied, where it is converted into binary gene code, and the structural design requirements are introduced into the algorithm through structural layout vaccine and concrete strength vaccine. In addition, the section size of components is designed according to economic indicators, which has proved that the research is effective for the structural optimization method of prefabricated components. |
format | Online Article Text |
id | pubmed-9203183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92031832022-06-17 Research on Structural Optimization of Prefabricated Components Based on Improved Immune Genetic Algorithm Ma, Tingting Comput Intell Neurosci Research Article On the premise of satisfying the design conditions and practical engineering needs, it is of practical significance to optimize the design of assembly components. Therefore, in this paper, based on the improved immune genetic algorithm, the structural optimization of prefabricated components is deeply studied, where it is converted into binary gene code, and the structural design requirements are introduced into the algorithm through structural layout vaccine and concrete strength vaccine. In addition, the section size of components is designed according to economic indicators, which has proved that the research is effective for the structural optimization method of prefabricated components. Hindawi 2022-06-09 /pmc/articles/PMC9203183/ /pubmed/35720889 http://dx.doi.org/10.1155/2022/4648112 Text en Copyright © 2022 Tingting 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, Tingting Research on Structural Optimization of Prefabricated Components Based on Improved Immune Genetic Algorithm |
title | Research on Structural Optimization of Prefabricated Components Based on Improved Immune Genetic Algorithm |
title_full | Research on Structural Optimization of Prefabricated Components Based on Improved Immune Genetic Algorithm |
title_fullStr | Research on Structural Optimization of Prefabricated Components Based on Improved Immune Genetic Algorithm |
title_full_unstemmed | Research on Structural Optimization of Prefabricated Components Based on Improved Immune Genetic Algorithm |
title_short | Research on Structural Optimization of Prefabricated Components Based on Improved Immune Genetic Algorithm |
title_sort | research on structural optimization of prefabricated components based on improved immune genetic algorithm |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203183/ https://www.ncbi.nlm.nih.gov/pubmed/35720889 http://dx.doi.org/10.1155/2022/4648112 |
work_keys_str_mv | AT matingting researchonstructuraloptimizationofprefabricatedcomponentsbasedonimprovedimmunegeneticalgorithm |