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Genetic Improvement of Data for Maths Functions

Published:29 July 2021Publication History
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Abstract

We use continuous optimisation and manual code changes to evolve up to 1024 Newton-Raphson numerical values embedded in an open source GNU C library glibc square root sqrt to implement a double precision cube root routine cbrt, binary logarithm log2 and reciprocal square root function for C in seconds. The GI inverted square root x -1/2 is far more accurate than Quake’s InvSqrt, Quare root. GI shows potential for automatically creating mobile or low resource mote smart dust bespoke custom mathematical libraries with new functionality.

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          cover image ACM Transactions on Evolutionary Learning and Optimization
          ACM Transactions on Evolutionary Learning and Optimization  Volume 1, Issue 2
          June 2021
          107 pages
          EISSN:2688-3007
          DOI:10.1145/3476125
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          Publication History

          • Published: 29 July 2021
          • Accepted: 1 April 2021
          • Revised: 1 March 2021
          • Received: 1 January 2020
          Published in telo Volume 1, Issue 2

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