Abstract
The article presents the use of genetic programming for Jominy test modeling for 51CrV4 (DIN) spring steel. The experimental data on chemical composition, distance from the specimen face, and Jominy test results of 74 batches were collected. On the basis of the experimental data set, a mathematical model for the Jominy test was developed by genetic programming. The model developed during the simulated evolution was also tested on the basis of experimental data on 871 batches. The results show that the proposed concept can be easily used also in practice.