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Selection Strategies in Evolution Algorithms and Biased Selection with Incest Control

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24210%2F20%3A00007862" target="_blank" >RIV/46747885:24210/20:00007862 - isvavai.cz</a>

  • Result on the web

    <a href="https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final_final.pdf" target="_blank" >https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final_final.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Selection Strategies in Evolution Algorithms and Biased Selection with Incest Control

  • Original language description

    Evolution algorithms are suitable to solve the large field of NP problems. The main difficulty of applying an evolutionary algorithm is to determine an appropriate set of parameter values of evolution operators. One of the most difficult operators to set is the selection of appropriate parents to be reproduced into new solutions. This parameter influences not only the quality of future solutions directly by parent chromosome, but also indirectly by keeping suitable diversity of the whole population. The main motivation of this article is to discuss the ability to prevent premature convergence of selection procedures to make the base for further adaptive scheme to select parents. The presented research is then focused on suggesting a new mechanism of incest control in selection strategies schemes by considering the relationship between selected parents. The new incest control mechanism in biased selection is introduced and experimentally compared with well-known selections. The control mechanism showed promising results in both premature convergence and the objective function.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10101 - Pure mathematics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    38th International Conference on Mathematical Methods in Economics 2020

  • ISBN

    978-80-7509-734-7

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    266-271

  • Publisher name

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jan 1, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000668460800041