Applied of ACS Meta-heuristic Algorithm and PSO Heuristic Algorithm in Ultrasonic Signals

The accurate estimation of the ultrasonic backscattered echoes pattern is essential in ultrasonic nondestructive evaluation. In this paper, a generalized parametric ultrasonic echo mode was presented. It is influenced by a set of parameters: echo bandwidth, arrival time, center frequency, amplitude and phase. The Adaptive Cuckoo Search (ACS) and Particle Swarm Optimization (PSO) algorithms are used to estimate these parameters and there performances are compared. In first, simulations are carried out to assess the performance of the two algorithms, then these algorithms were applied on experimental ultrasonic signal. The ACS algorithm outperforms PSO.