GENETIC PROGRAMMING FOR DATA MINING OF CELLULAR MODEL

This paper firstly describe genetic algorithms and genetic programming, which are relatively new, domain-independent, stochastic methods inspired by evolution. Although in the absence of a strong theoretical background, this methods made significant success in different application areas. Secondly, to our attention will be brought machine learning and data mining problems.