- author = "W. B. Langdon",
- title = "Genetic Improvement of Data gives double precision invsqrt",
- booktitle = "7th edition of GI @ GECCO 2019",
- year = "2019",
- month = jul # " 13-17",
- editor = "Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- address = "Prague, Czech Republic",
- pages = "1709--1714",
- organisation = "SIGEVO",
- keywords = "genetic algorithms, genetic programming, genetic improvement, evolutionary computing, Evolution Strategies, GGGP, search based software engineering, SBSE, software maintenance of literals, data transplantation, glibc, Newton's method",
- isbn13 = "978-1-4503-6748-6",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2019_GI7.pdf",
-
DOI = "
doi:10.1145/3319619.3326800",
-
code_url = "
https://github.com/wblangdon/gi_invsqrt",
- size = "8 pages",
- abstract = "CMA-ES plus manual code changes rapidly transforms 512 Newton-Raphson start points from a GNU C library table driven version of sqrt into a double precision reciprocal square root function. The GI 1/sqrt(x) is far more accurate than Quake's InvSqrt, Quare root.",
-
notes = "source code
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/gi_cbrt.tar.gz
https://github.com/oliver-krauss/Replication_GI_Division_Free_Division
see also \cite{replication_package}
Slides: http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2019/langdon_2019_GI7_slides.pdf
Also known as \cite{Langdon:2019:GECCOcompb}
Also known as \cite{3326800} GECCO-2019 A Recombination of the 28th International Conference on Genetic Algorithms (ICGA) and the 24th Annual Genetic Programming Conference (GP)",
