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Creating evolutionary algorithms by means of analytic programming - design of new cost function

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F07%3A63505864" target="_blank" >RIV/70883521:28140/07:63505864 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Creating evolutionary algorithms by means of analytic programming - design of new cost function

  • Original language description

    This contribution deals with a new idea of how to crate evolutionary algorithms by means of symbolic regression and Analytic Programming. The motivation was not only to tune some existing algorithms to their better performance, but also to find a new robust evolutionary algorithms. In this study operators of Differential Evolution (DE), Self-Organizing Migrating Algorithms (SOMA), Hill Climbing were used during a process of Analytic Programming. The results showed that AP was able to find the originallydefined DE but also new structure which has a similar behaviour but slower cnvergence in multimodal function than DE. This, in futher work, leads to including the conditions of convergence to Cost Fucntion. Results produced in 100 repeated simulations are displayed in graphical and tabular form.

  • Czech name

    Synteza evolucnich algoritmu pomoci symbolicke regrese - design nove ucelove funkce

  • Czech description

    Příspěvek se zabývá novou myšlenkou jak vytvořit evoluční algoritmy pomocí symbolické regrese a Analytického programování. Motivací nebylo pouze zlepšit stávající algoritmy, ale také najít nové robustní. V této studii byly použity operátory Diferenciálníevoluce, Samoorganizujícího se migračního algoritmu a horolezeckého algoritmu pro procesy prováděné Analytickým programováním. Výsledky ukázaly, že je možné nalézt nejen originální algoritmy ale také nové struktury.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ECMS 2007

  • ISBN

    978-0-9553018-2-7

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    271-276

  • Publisher name

    European Council for Modelling and Simulation

  • Place of publication

    Germany

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article