An improved version of the function estimation program GDF is presented. The main enhancements of the new version include: multi-output function estimation, capability of defining custom functions in the grammar and selection of the error function. The new version has been evaluated on a series of classification and regression datasets, that are widely used for the evaluation of such methods. It is compared to two known neural networks and outperforms them in 5 (out of 10) datasets. PACS:02.30.Mv, 02.60.-x, 02.60.Ed, 07.05.Mh. Key words: Function approximation, stochastic methods, genetic programming, grammatical evolution. NEW VERSION PROGRAM SUMMARY Manuscript Title: GDF v2.0 Authors: Ioannis G. Tsoulos, Dimitris Gavrilis, Evangelos Dermatas Program Title: GDF v2.0, an enhanced version of GDF Journal Reference: Catalogue identifier: Licensing provisions: none Programming language: GNU C++ Computer: The program is designed to be portable in all systems running the GNU C++ compiler...
Ioannis G. Tsoulos, Dimitris Gavrilis, Evangelos D