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Publication Detail
Automatically Evolving Lookup Tables for Function Approximation
  • Publication Type:
    Conference
  • Authors:
    Krauss O, Langdon WB
  • Publisher:
    Springer Nature
  • Publication date:
    09/04/2020
  • Pagination:
    84, 100
  • Published proceedings:
    Genetic Programming. EuroGP: European Conference on Genetic Programming (Part of EvoStar)
  • Volume:
    12101 LNCS
  • ISBN-13:
    9783030440930
  • Status:
    Published
  • Name of conference:
    EuroGP: 23rd European Conference on Genetic Programming (Part of EvoStar)
  • Conference place:
    Seville, Spain
  • Conference start date:
    15/04/2020
  • Conference finish date:
    17/04/2020
  • Print ISSN:
    0302-9743
Abstract
© 2020, Springer Nature Switzerland AG. Many functions, such as square root, are approximated and sped up with lookup tables containing pre-calculated values. We introduce an approach using genetic algorithms to evolve such lookup tables for any smooth function. It provides double precision and calculates most values to the closest bit, and outperforms reference implementations in most cases with competitive run-time performance.
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