@inproceedings{discovery10074376,
           pages = {413--414},
       booktitle = {Proceedings of the 2019 Genetic and Evolutionary Computation Conference (GECCO)},
          volume = {2019},
         address = {New York, NY, USA},
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
       publisher = {Association for Computing Machinery (ACM)},
            year = {2019},
           title = {Genetic Improvement of Data gives Binary Logarithm from sqrt},
         journal = {Genetic and Evolutionary Computation Conference},
          series = {Genetic and Evolutionary Computation Conference (GECCO)},
           month = {July},
        keywords = {genetic programming, GI, search based software engineering, SBSE, software maintenance of empirical constants, data transplantation},
             url = {http://dx.doi.org/10.1145/3319619.3321954},
        abstract = {Automated search in the form of the Covariance Matrix Adaptation
Evolution Strategy (CMA-ES), plus manual code changes, transforms 512 Newton-Raphson floating point start numbers from an
open source GNU C library, glibc, table driven square root function
to create a new bespoke custom mathematical implementation of
double precision binary logarithm log2 for C in seconds.},
          author = {Petke, J and Langdon, W}
}