1. Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm
- Author
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Shi-bo Tao, Ai-ping Tang, and Dian-zhong Liu
- Subjects
Article Subject ,Computer science ,Computer Science::Neural and Evolutionary Computation ,Mathematics::Optimization and Control ,020101 civil engineering ,02 engineering and technology ,Bridge (interpersonal) ,Wind speed ,0201 civil engineering ,Nonlinear Sciences::Adaptation and Self-Organizing Systems ,0203 mechanical engineering ,Firefly algorithm ,Quantum ,Civil and Structural Engineering ,Hardware_MEMORYSTRUCTURES ,Mechanical Engineering ,ComputerSystemsOrganization_PROCESSORARCHITECTURES ,Geotechnical Engineering and Engineering Geology ,Condensed Matter Physics ,lcsh:QC1-999 ,Nonlinear system ,Quantum genetic algorithm ,020303 mechanical engineering & transports ,Mechanics of Materials ,Flutter ,Algorithm ,lcsh:Physics - Abstract
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.
- Published
- 2019
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