Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm

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 fir...

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Main Authors: Shi-bo Tao, Dian-zhong Liu, Ai-ping Tang
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2019/3253280
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author Shi-bo Tao
Dian-zhong Liu
Ai-ping Tang
author_facet Shi-bo Tao
Dian-zhong Liu
Ai-ping Tang
author_sort Shi-bo Tao
collection DOAJ
description 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.
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institution Kabale University
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language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Shock and Vibration
spelling doaj-art-b2bc488602df4541a4a4f80fdc0c4e6a2025-08-20T03:39:21ZengWileyShock and Vibration1070-96221875-92032019-01-01201910.1155/2019/32532803253280Bridge Critical State Search by Using Quantum Genetic Firefly AlgorithmShi-bo Tao0Dian-zhong Liu1Ai-ping Tang2School of Civil Engineering, Jilin Jianzhu University, Changchun, Jilin 130118, ChinaSchool of Civil Engineering, Jilin Jianzhu University, Changchun, Jilin 130118, ChinaKey Lab of Structures Dynamic Behavior and Control, Harbin Institute of Technology, Ministry of Education, Heilongjiang, Harbin 150090, ChinaWhen 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.http://dx.doi.org/10.1155/2019/3253280
spellingShingle Shi-bo Tao
Dian-zhong Liu
Ai-ping Tang
Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm
Shock and Vibration
title Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm
title_full Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm
title_fullStr Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm
title_full_unstemmed Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm
title_short Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm
title_sort bridge critical state search by using quantum genetic firefly algorithm
url http://dx.doi.org/10.1155/2019/3253280
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AT dianzhongliu bridgecriticalstatesearchbyusingquantumgeneticfireflyalgorithm
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