- author = "W. B. Langdon",
- title = "Evolving Square Root into Binary Logarithm",
- institution = "University College, London",
- year = "2018",
- number = "RN/18/05",
- address = "London, UK",
- month = "27 " # jun,
- keywords = "genetic algorithms, genetic programming, genetic improvement, search based software engineering, SBSE, software maintenance of empirical constants, data transplantation, glibc, exponential doubling function, exp2",
-
URL = "
http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_18_05.pdf",
- size = "5 pages",
- abstract = "Genetic improvement can adapt numbers to create new functionality. Expanding prior work in which Covariance Matrix Adaptation Evolution Strategy algorithm (CMA-ES) converted a GNU C library sqrt into cbrt, we show (with suitable objective function) the same GGGP framework can find a double precision binary logarithm log2 for C by adjusting 512 floats",
-
notes = "See also \cite{Langdon:TELO}
\cite{langdon:2019:log2}
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}",
