Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm

• Published in: Shock and vibration Vol. 2019; no. 2019; pp. 1 - 10
• Main Authors: Tao, Shibo, Tang, Ai-ping, Liu, Dian-zhong
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2019; Hindawi; John Wiley & Sons, Inc; Wiley
• Subjects: Algorithms; Bridges; Comparative analysis; Control theory; Engineering; Flutter analysis; Genetic algorithms; Heuristic methods; Mathematical models; Nonlinear equations; Optimization; Velocity; Vibration; Vortices; Wind speed; China
• ISSN: 1070-9622; 1875-9203; 1875-9203
• DOI: 10.1155/2019/3253280

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.