The genetic-algorithm-based approach to back solution of elastic modulus of biologic tissue

Material properties of soft tissue are a hotspot in recent years. The method for identification of elastic modulus of biologic tissue is presented in this paper, given that part of displacements of boundary are known. The back solution of elastic modulus is described as (in inverse problem, in mechanics. Mathematical model of inverse system recognition, process is built, and the principles of genetic algorithm, is utilized to establish a genetic-algorithm-based approach to back solution of elastic modulas of biologic tissue. Finally, two examples are given and they show that the algorithm has good and fast ability of back solution. This method proposed in this paper is different from the ways of getting the elastic modulus from), the Stress-strain experiment directly, or using optics and ultrasonic to calculate the samples displacement value indirectly. It provides a new solution to obtain the elastic modulus of biological tissue.