- author = "Milos Minarik and Lukas Sekanina",
- title = "Evolution of Iterative Formulas Using Cartesian Genetic Programming",
- booktitle = "Proceedings of the 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2011) Part {I}",
- year = "2011",
- editor = "Andreas K{\"o}nig and Andreas Dengel and Knut Hinkelmann and Koichi Kise and Robert J. Howlett and Lakhmi C. Jain",
- volume = "6881",
- series = "Lecture Notes in Computer Science",
- pages = "11--20",
- address = "Kaiserslautern, Germany",
- month = sep # " 12-14",
- publisher = "Springer",
- keywords = "genetic algorithms, genetic programming, cartesian genetic programming",
- isbn13 = "978-3-642-23850-5",
-
DOI = "
doi:10.1007/978-3-642-23851-2_2",
- size = "10 pages",
- abstract = "Many functions such as division or square root are implemented in hardware using iterative algorithms. We propose a genetic programming-based method to automatically design simple iterative algorithms from elementary functions. In particular, we demonstrated that Cartesian Genetic Programming can evolve various iterative formulae for tasks such as division or determining the greatest common divisor using a reasonable computational effort.",
-
notes = "p19 'In our future work, we plan to evolve iterative
formulas for other functions (square root, exponential
etc.)'
Goldschmidt Division, Euclidean Algorithm",
- affiliation = "Faculty of Information Technology, Brno University of Technology, Bozetechova 2, 612 66 Brno, Czech Republic",
- bibdate = "2011-09-13",
- bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/kes/kes2011-1.html#MinarikS11",
