The details of implementation of gene expression programming were thoroughly explained allowing other researchers to implement this new algorithm. Furthermore, the problems chosen to illustrate the functioning of GEP show that the new paradigm can be used to solve several problems from different fields with the advantage of running efficiently in a personal computer. The new concept behind the linear chromosomes and the ETs enabled GEP to considerably outperform existing adaptive algorithms. Therefore, GEP offers new possibilities for solving more complex technological and scientific problems. Also important and original is the multigenic organization of GEP chromosomes, which makes GEP a truly hierarchical discovery technique. And finally, gene expression algorithms represent nature more faithfully, and therefore can be used as computer models of natural evolutionary processes.