Slightly Beyond Turing's Computability for Studying Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{conf/mcu/Teytaud07,

• author = "Olivier Teytaud",
• title = "Slightly Beyond {Turing}'s Computability for Studying Genetic Programming",
• booktitle = "Proceedings of the 5th International Conference on Machines, Computations, and Universality, MCU 2007",
• year = "2007",
• editor = "J{\'e}r{\^o}me Olivier Durand-Lose and Maurice Margenstern",
• volume = "4664",
• series = "Lecture Notes in Computer Science",
• pages = "279--290",
• address = "Orl{\'e}ans, France",
• month = sep # " 10-13",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-540-74592-1",
• DOI = "doi:10.1007/978-3-540-74593-8_24",
• size = "12 pages",
• abstract = "Inspired by genetic programming (GP), we study iterative algorithms for non-computable tasks and compare them to naive models. This framework justifies many practical standard tricks from GP and also provides complexity lower-bounds which justify the computational cost of GP thanks to the use of Kolmogorov's complexity in bounded time.",
• notes = "Symbolic regression",
• bibdate = "2007-08-28",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/mcu/mcu2007.html#Teytaud07",

}

Genetic Programming entries for Olivier Teytaud

Citations