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Cartesian Genetic Programming in a Changing Environment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU117056" target="_blank" >RIV/00216305:26230/15:PU117056 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.fit.vut.cz/research/publication/10980/" target="_blank" >https://www.fit.vut.cz/research/publication/10980/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Cartesian Genetic Programming in a Changing Environment

  • Original language description

    Evolutionary algorithm are prevalently being used in static environments. In a dynamically changing environment an evolutionary algorithm must be also able to cope with the changes of the environment. This paper describes an algorithm based on Cartesian Genetic Programming (CGP) that is used to design and optimise a solution in a simulated symbolic regression problem in a changing environment. A modified version of the Age-Layered Population Structure (ALPS) algorithm is being used in cooperation with CGP. It is shown that the usage of ALPS can improve the performance on of CGP when solving problems in a changing environment.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015)

  • ISBN

    978-989-758-157-1

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    204-211

  • Publisher name

    SciTePress - Science and Technology Publications

  • Place of publication

    Lisbon

  • Event location

    Lisbon

  • Event date

    Nov 12, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article