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Evolution of Iterative Formulas Using Cartesian Genetic Programming

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU96066" target="_blank" >RIV/00216305:26230/11:PU96066 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evolution of Iterative Formulas Using Cartesian Genetic Programming

  • Original language description

    Many functions such as division or square root are implemented in hardware using iterative algorithms. We propose a genetic programming-based method to automatically design simple iterative algorithms from elementary functions. In particular, we demonstrated that Cartesian Genetic Programming can evolve various iterative formulas for tasks such as division or determining the greatest common divisor using a reasonable computational effort.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F10%2F1517" target="_blank" >GAP103/10/1517: Natural Computing on Unconventional Platforms</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Lecture Notes in Computer Science (IF 0,513)

  • ISSN

    0302-9743

  • e-ISSN

  • Volume of the periodical

    2011

  • Issue of the periodical within the volume

    6881

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    10

  • Pages from-to

    11-20

  • UT code for WoS article

  • EID of the result in the Scopus database