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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Veröffentlicht in:Archives of civil engineering Jg. 70; H. 4; S. 57 - 70
1. Verfasser: Li, Chao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Warsaw De Gruyter Brill Sp. z o.o., Paradigm Publishing Services 01.01.2024
Polish Academy of Sciences
Schlagworte:
Algorithms
aphid algorithm
assembly
building
Building design
chaotic optimization
Design optimization
Green buildings
Multiple objective analysis
Optimization algorithms
Optimization models
Prefabricated buildings
Structural design
Structural engineering
Structural stability
Sustainable development
Vibration control
ISSN:1230-2945, 2300-3103
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1230-2945
2300-3103
DOI:10.24425/ace.2024.151879