Modelling the Structural Steel Hardness Using Genetic Programming Method

The aim of the paper is to demonstrate, how artificial intelligence methods, especially genetic ones, naturally combine with problems of material science. On the example of modelling a function showing how carbon concentration in steel changes its hardness it was shown how modern artificial intelligence methods can easily be adapted for solving problems of modern science. The paper presents the possibility of applying genetic programming to model properties of the steel.