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Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm
Joint Authors
Tao, Shibo
Tang, Ai-ping
Liu, Dian-zhong
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
When performing flutter analysis through the traditional methods, it is difficult to solve high-order strong nonlinear equations.
For overcoming this difficulty, this paper establishes a double-parameter optimization model for searching the flutter critical wind speed and frequency.
A new hybrid firefly algorithm called the quantum genetic firefly algorithm is presented to search the optimal solution to the optimization model.
The proposed algorithm is the combination of the firefly algorithm and the quantum genetic algorithm.
The results of the quantum genetic firefly algorithm are compared with the results shown by the firefly algorithm and quantum genetic algorithm.
Numerical and experimental results of the proposed algorithm are competitive and in most cases are better than that of the firefly algorithm and quantum genetic algorithm.
American Psychological Association (APA)
Tao, Shibo& Liu, Dian-zhong& Tang, Ai-ping. 2019. Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm. Shock and Vibration،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1211147
Modern Language Association (MLA)
Tao, Shibo…[et al.]. Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm. Shock and Vibration No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1211147
American Medical Association (AMA)
Tao, Shibo& Liu, Dian-zhong& Tang, Ai-ping. Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1211147
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1211147