Intelligent Computing in Inverse Problems

This chapter is devoted to the application of the bio-inspired methods in solving various inverse problems for mechanical systems. Several identification problems are considered. Various problems such as identification of boundary conditions for thermo-elastic and cracked structures, defects in elastic, thermo-elastic and cracked structures, and of material properties are formulated, numerically implemented and solved. Appropriate identification functionals for specific problems are formulated and implemented. Real object models were simulated using finite-element method (FEM) or boundary element method (BEM). The problems are solved for both ideal, deterministic values of measurements in sensors and noisy data. Evolutionary algorithms (EAs) and artificial immune systems (AISs) are used to solve the identification problems. Additionally, identification methods and procedures are supported by artificial neural networks (ANNs) and neuro-fuzzy inference system (NFISs). The effectiveness of the proposed method is demonstrated in several numerical examples of identification.