Langdon, WB;
(2019)
Genetic improvement of data gives double precision invsqrt.
In:
(Proceedings) GECCO '19: the Genetic and Evolutionary Computation Conference Companion.
(pp. pp. 1709-1714).
: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '19.
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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 x^{-1/2} is far more accurate than Quake's InvSqrt, Quare root.
Type: | Proceedings paper |
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Title: | Genetic improvement of data gives double precision invsqrt |
Event: | GECCO '19: the Genetic and Evolutionary Computation Conference Companion |
Location: | Prague, Czech Republic |
Dates: | 13th-17th July 2019 |
ISBN-13: | 978-1-4503-6748-6 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3319619.3326800 |
Publisher version: | https://doi.org/10.1145/3319619.3326800 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
Keywords: | evolutionary computing, Evolution Strategies, GGGP, search based software engineering, SBSE, software maintenance of literals, data transplantation, glibc, Newton’s method |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10100134 |




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