Optimization of Large-Scale Frame Structures Using Fuzzy Adaptive Quantum Inspired Charged System Search
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F22%3A10249642" target="_blank" >RIV/61989100:27510/22:10249642 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s13296-022-00598-y" target="_blank" >https://link.springer.com/article/10.1007/s13296-022-00598-y</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s13296-022-00598-y" target="_blank" >10.1007/s13296-022-00598-y</a>
Alternative languages
Result language
angličtina
Original language name
Optimization of Large-Scale Frame Structures Using Fuzzy Adaptive Quantum Inspired Charged System Search
Original language description
In this paper, a metaheuristic-based design approach is developed in which the structural design optimization of large-scale steel frame structures is concerned. Although academics have introduced form-dominant methods, yet using artificial intelligence in structural design is one of the most critical challenges in recent years. However, the Charged System Search (CSS) is utilized as the primary optimization approach, which is improved by using the main principles of quantum mechanics and fuzzy logic systems. In the proposed Fuzzy Adaptive Quantum Inspired CSS algorithm, the position updating procedure of the standard algorithm is developed by implementing the center of potential energy presented in quantum mechanics into the general formulation of CSS to enhance the convergence capability of the algorithm. Simultaneously, a fuzzy logic-based parameter tuning process is also conducted to enhance the exploitation and exploration rates of the standard optimization algorithm. Two 10 and 60 story steel frame structures with 1026 and 8272 structural members, respectively, are utilized as design examples to determine the performance of the developed algorithm in dealing with complex optimization problems. The overall capability of the presented approach is compared with the Charged System Search and other metaheuristic optimization algorithms. The proposed enhanced algorithm can prepare better results than the other metaheuristics by considering the achieved results.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA19-13946S" target="_blank" >GA19-13946S: Performance evaluation in the presence of unclassified factors</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Steel Structures
ISSN
1598-2351
e-ISSN
2093-6311
Volume of the periodical
22
Issue of the periodical within the volume
3
Country of publishing house
KR - KOREA, REPUBLIC OF
Number of pages
22
Pages from-to
686-707
UT code for WoS article
000779718900001
EID of the result in the Scopus database
2-s2.0-85127655024