关键词: 人工蜂群算法, 群体智能, 全局优化, 超声回波, 超声检测

Abstract: This paper proposes a parameter estimation method for nonlinear Gaussian model of ultrasonic echo based on artificial bee colony algorithm, which is applied to solve combinatorial optimization problems and continuous optimization problems. It gives the basic steps of the algorithm, and simulates the performance of the algorithm in different initial conditions. Simulation results show that, the estimation accuracy of the algorithm is independent of the initial value selection. And it not only can successfully estimate the various parameters of the ultrasonic echo, but also can achieve the optimal solution in the global scope. Compared with ant colony optimization that applied to ultrasonic echo parameter estimation, the algorithm has the advantages of fast convergence speed, short running time, robustness, real-time processing.

Key words: artificial bee colony algorithm, swarm intelligence, global optimization, ultrasonic echo, ultrasonic testing