The application of ICPA optimization algorithm in multi-objective optimization structural design of prefabricated buildings
With the prefabricated buildings developing, traditional architectural design methods can no longer meet the requirements of efficient, green, and sustainable development. In view of this, based on the analysis of the framework structure of the cyclical parthenogenesis algorithm, the study introduce...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2024-12-01
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| Series: | Archives of Civil Engineering |
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| Online Access: | https://journals.pan.pl/Content/133440/04_3k.pdf |
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| author | Chao Li |
| author_facet | Chao Li |
| author_sort | Chao Li |
| collection | DOAJ |
| description | With the prefabricated buildings developing, traditional architectural design methods can no longer meet the requirements of efficient, green, and sustainable development. In view of this, based on the analysis of the framework structure of the cyclical parthenogenesis algorithm, the study introduced chaotic optimization algorithm for improvement. And the improved new algorithm was applied to multi-objective problems in the optimization design of prefabricated building structures. Finally, a novel structural design optimization model was proposed. These experiments confirmed that the improved algorithm had the least 160 iterations and 17 optimal solutions, which was an increase of 15 compared to traditional aphid algorithms. Two function solutions of this new structural design optimization model were both between –0:5 and 0.5, with relatively smaller values. In addition, this model could effectively optimize and transform physical buildings, increasing their structural stability by 2.43%, increasing their structural quality coefficient by 4.49%, reducing vibration cycles by 0.06%, and reducing inter story displacement angles by 0.04%. In summary, the improved cyclical parthenogenesis algorithm has good performance in solving multi-objective problems in prefabricated structures, and can quickly and accurately find the global optimal solution. This study aims to provide guidance for the prefabricated building structure design. |
| format | Article |
| id | doaj-art-dc4a0968dcd545d9b158a49ffb902c4b |
| institution | Kabale University |
| issn | 1230-2945 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Civil Engineering |
| spelling | doaj-art-dc4a0968dcd545d9b158a49ffb902c4b2024-12-23T09:57:35ZengPolish Academy of SciencesArchives of Civil Engineering1230-29452024-12-01vol. 70No 45770https://doi.org/10.24425/ace.2024.151879The application of ICPA optimization algorithm in multi-objective optimization structural design of prefabricated buildingsChao Li0https://orcid.org/0009-0005-0081-050XSchool of Modern Technology, Mianyang City College, Mianyang, 621000, ChinaWith the prefabricated buildings developing, traditional architectural design methods can no longer meet the requirements of efficient, green, and sustainable development. In view of this, based on the analysis of the framework structure of the cyclical parthenogenesis algorithm, the study introduced chaotic optimization algorithm for improvement. And the improved new algorithm was applied to multi-objective problems in the optimization design of prefabricated building structures. Finally, a novel structural design optimization model was proposed. These experiments confirmed that the improved algorithm had the least 160 iterations and 17 optimal solutions, which was an increase of 15 compared to traditional aphid algorithms. Two function solutions of this new structural design optimization model were both between –0:5 and 0.5, with relatively smaller values. In addition, this model could effectively optimize and transform physical buildings, increasing their structural stability by 2.43%, increasing their structural quality coefficient by 4.49%, reducing vibration cycles by 0.06%, and reducing inter story displacement angles by 0.04%. In summary, the improved cyclical parthenogenesis algorithm has good performance in solving multi-objective problems in prefabricated structures, and can quickly and accurately find the global optimal solution. This study aims to provide guidance for the prefabricated building structure design.https://journals.pan.pl/Content/133440/04_3k.pdfaphid algorithmchaotic optimizationassemblybuildingstructural design |
| spellingShingle | Chao Li The application of ICPA optimization algorithm in multi-objective optimization structural design of prefabricated buildings Archives of Civil Engineering aphid algorithm chaotic optimization assembly building structural design |
| title | The application of ICPA optimization algorithm in multi-objective optimization structural design of prefabricated buildings |
| title_full | The application of ICPA optimization algorithm in multi-objective optimization structural design of prefabricated buildings |
| title_fullStr | The application of ICPA optimization algorithm in multi-objective optimization structural design of prefabricated buildings |
| title_full_unstemmed | The application of ICPA optimization algorithm in multi-objective optimization structural design of prefabricated buildings |
| title_short | The application of ICPA optimization algorithm in multi-objective optimization structural design of prefabricated buildings |
| title_sort | application of icpa optimization algorithm in multi objective optimization structural design of prefabricated buildings |
| topic | aphid algorithm chaotic optimization assembly building structural design |
| url | https://journals.pan.pl/Content/133440/04_3k.pdf |
| work_keys_str_mv | AT chaoli theapplicationoficpaoptimizationalgorithminmultiobjectiveoptimizationstructuraldesignofprefabricatedbuildings AT chaoli applicationoficpaoptimizationalgorithminmultiobjectiveoptimizationstructuraldesignofprefabricatedbuildings |