Solving classification problems using Traceless Genetic Programming
Neural and Evolutionary Computing
2021-11-30 v1 Artificial Intelligence
Abstract
Traceless Genetic Programming (TGP) is a new Genetic Programming (GP) that may be used for solving difficult real-world problems. The main difference between TGP and other GP techniques is that TGP does not explicitly store the evolved computer programs. In this paper, TGP is used for solving real-world classification problems taken from PROBEN1. Numerical experiments show that TGP performs similar and sometimes even better than other GP techniques for the considered test problems.
Keywords
Cite
@article{arxiv.2111.14790,
title = {Solving classification problems using Traceless Genetic Programming},
author = {Mihai Oltean},
journal= {arXiv preprint arXiv:2111.14790},
year = {2021}
}
Comments
arXiv admin note: substantial text overlap with arXiv:2110.02014, arXiv:2110.13608, arXiv:2110.00468