Abstract
The paper presents a survey of inverse analysis focusing on two aspects: computing time and accuracy of the solution. Identification of flow stress model in metal forming processes was considered as the inverse problem. This identification is usually performed by coupling the FE model with optimization techniques which leads to long computing times. Application of the metamodel instead of FE model in the inverse analysis was proposed as a solution of this problem. The second dilemma concerns the choice of the best optimization method. Several bio-inspired optimization algorithms were used in the inverse calculations. Comparison of obtained results is presented in the paper.