Application of genetic algorithms for the estimation of ultrasonic parameters

Abstract

In this chapter, the use of genetic algorithm (GA) is investigated in the field of estimating ultrasonic (US) propagation parameters. Recent works are, then, surveyed showing an ever-spread of employing GA in different applications of US. A GA is, specifically, used to estimate the propagation parameters of US waves in polycrystalline and composite materials for different applications. The objective function of the estimation is the minimization of a rational difference error between the estimated and measured transfer functions of US-wave propagation. The US propagation parameters may be the phase velocity and attenuation. Based on tentative experiments, we will demonstrate how the evolution operators and parameters of GA can be chosen for modeling of US propagation. The GA-based estimation is applied, in a test experiment, on steel alloy and Aluminum specimens with different grain sizes. Comparative results of that experiment are presented on different evolution operators for less estimation errors and complexity. The results prove the effectiveness of GA in estimating parameters for US propagation.