- author = "Mohamed M. Khatib",
- title = "Automated Discovery of Symbolic Approximation Formulae using Genetic Programming",
- journal = "International Journal of Computer Applications",
- year = "2020",
- volume = "176",
- number = "13",
- month = apr,
- pages = "29--34",
- keywords = "genetic algorithms, genetic programming, Pade approximations, Symbolic Regression",
- publisher = "Foundation of Computer Science (FCS), NY, USA",
- ISSN = "0975-8887",
-
URL = "
https://www.ijcaonline.org/archives/volume176/number13/khatib-2020-ijca-920053.pdf",
-
URL = "
http://www.ijcaonline.org/archives/volume176/number13/31262-2020920053",
-
DOI = "
doi:10.5120/ijca2020920053",
- size = "6 pages",
- abstract = "We describe the use of genetic programming to automate the discovery of symbolic approximation formulae. Results are presented involving discovery of numeric approximation formulae to common functions, which are compared to Pade approximations obtained through a symbolic mathematics package. Based on these results, we consider genetic programming to be a powerful and effective technique for the automated discovery of symbolic approximation formulae.",
-
notes = "Also known as
\cite{10.5120/ijca2020920053}
www.ijcaonline.org
Faculty of Informatics Engineering, Aleppo, University, Syria",
